Job Description

We are seeking a detail-oriented Power BI Data Analyst to join our Business Intelligence team. In this role, you will transform complex business data into meaningful insights through interactive dashboards, reports, and visualizations using Microsoft Power BI. You will work closely with business stakeholders, data engineers, and management to identify trends, monitor KPIs, and support strategic decision-making.

The ideal candidate has strong analytical skills, hands-on experience with Power BI, SQL, and DAX, and a passion for converting data into actionable business intelligence.

Key Responsibilities

• Design, develop, and maintain interactive dashboards and reports using Microsoft Power BI.
• Gather, analyze, and document business reporting requirements from stakeholders.
• Create and optimize Power BI data models, relationships, and semantic models.
• Develop advanced DAX measures, calculated columns, and KPIs.
• Transform and clean data using Power Query (M Language).
• Connect Power BI to multiple data sources, including SQL Server, Excel, Azure, SharePoint, Snowflake, and APIs.
• Monitor business performance by analyzing trends, forecasts, and operational metrics.
• Perform data validation, reconciliation, and quality assurance to ensure report accuracy.
• Optimize dashboard performance, refresh schedules, and dataset efficiency.
• Publish, manage, and secure reports in Power BI Service.
• Implement Row-Level Security (RLS) and workspace permissions.
• Collaborate with data engineers and business users to improve reporting processes.
• Prepare documentation, training materials, and user guides for dashboards.
• Support self-service BI initiatives and provide end-user training.
• Stay current with Microsoft Fabric, Power BI updates, and emerging BI technologies.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Statistics, or a related field.
• 2–5+ years of experience in Business Intelligence, Data Analytics, or Reporting.
• Hands-on experience with Microsoft Power BI Desktop and Power BI Service.
• Strong knowledge of DAX (Data Analysis Expressions) and Power Query (M).
• Experience writing complex SQL queries for data extraction and analysis.
• Knowledge of relational databases and data modeling concepts.
• Experience creating executive dashboards and KPI scorecards.
• Strong analytical, problem-solving, and communication skills.
• Experience working in Agile or Scrum environments.

Preferred Qualifications

• Experience with Microsoft Fabric, Azure Synapse Analytics, or Azure Data Factory.
• Familiarity with Snowflake, Databricks, or SQL Server Analysis Services (SSAS).
• Knowledge of Power Platform tools, including Power Apps and Power Automate.
• Experience with Python or R for advanced analytics.
• Microsoft Certified: Power BI Data Analyst Associate (PL-300) certification.
• Understanding of ETL processes and data warehousing concepts.

Technical Skills

• Microsoft Power BI Desktop
• Power BI Service
• DAX (Data Analysis Expressions)
• Power Query (M Language)
• SQL Server
• T-SQL
• Microsoft Fabric
• Azure Synapse Analytics
• Azure Data Factory
• Microsoft Excel (Advanced)
• Power Automate
• Power Apps
• SharePoint
• Snowflake
• Databricks
• Python (Preferred)
• Git
• Jira
• Data Modeling
• ETL Concepts

Benefits

• Competitive salary with annual performance bonuses.
• Medical, dental, and vision insurance.
• Flexible remote, hybrid, or on-site work options.
• Paid vacation, company holidays, and wellness leave.
• Professional development and Microsoft certification reimbursement.
• Access to enterprise analytics tools and cloud technologies.
• Career growth opportunities in Business Intelligence, Data Engineering, and Analytics.
• Collaborative and inclusive work environment.

Job Description

We are seeking a talented Applied AI Engineer to design, develop, and deploy production-ready AI applications that solve real-world business challenges. In this role, you will work with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), machine learning models, and cloud technologies to build intelligent, scalable, and secure AI-powered solutions.

You will collaborate closely with data scientists, software engineers, product managers, and cloud architects to integrate AI capabilities into enterprise applications while ensuring high performance, reliability, and responsible AI practices.

Key Responsibilities

• Design, build, and deploy AI-powered applications using modern machine learning and Generative AI technologies.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for intelligent search and knowledge-based systems.
• Integrate Large Language Models (LLMs) into enterprise applications using APIs and AI orchestration frameworks.
• Build scalable AI microservices and REST APIs using Python frameworks such as FastAPI.
• Develop prompt engineering strategies to improve AI response quality and consistency.
• Evaluate AI model performance using quality metrics, benchmarking, and automated testing.
• Collaborate with software engineers to integrate AI services into web and cloud applications.
• Deploy AI applications on cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Optimize inference performance, latency, scalability, and cost efficiency for production AI workloads.
• Implement secure AI development practices, including data privacy, governance, and responsible AI standards.
• Monitor AI applications in production, troubleshoot issues, and continuously improve model performance.
• Stay current with advancements in AI, machine learning, and Generative AI technologies.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
• 3–7+ years of experience in software engineering, AI engineering, or machine learning development.
• Strong programming experience in Python.
• Experience developing production AI applications using Large Language Models (LLMs) and Generative AI.
• Hands-on experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.
• Experience building REST APIs using FastAPI or Flask.
• Knowledge of machine learning fundamentals and model deployment.
• Experience with vector databases such as Pinecone, ChromaDB, Weaviate, or FAISS.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Experience with Git, SQL, and Agile software development methodologies.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with OpenAI, Azure OpenAI Service, Anthropic Claude, Google Gemini, or other foundation models.
• Experience fine-tuning open-source LLMs using Hugging Face Transformers.
• Knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker.
• Experience developing AI chatbots, virtual assistants, or intelligent automation solutions.
• Familiarity with AI governance, model evaluation, and responsible AI practices.
• Experience with cloud-native architectures and microservices.

Technical Skills

• Python
• FastAPI
• LangChain
• LlamaIndex
• OpenAI API
• Azure OpenAI
• Google Vertex AI
• Anthropic Claude APIs
• Hugging Face Transformers
• PyTorch
• TensorFlow
• Scikit-learn
• Pinecone
• ChromaDB
• FAISS
• PostgreSQL / SQL
• Docker
• Kubernetes
• Git
• GitHub Actions
• AWS / Microsoft Azure / Google Cloud
• REST APIs
• CI/CD

Benefits

• Competitive salary with annual performance bonuses.
• Medical, dental, and vision insurance.
• Flexible remote, hybrid, or on-site work options.
• Paid vacation, holidays, and wellness leave.
• Professional development budget and AI certification reimbursement.
• Access to the latest AI tools, cloud platforms, and development resources.
• Career advancement opportunities in AI engineering, machine learning, and technical leadership.
• Collaborative, innovative, and inclusive work environment.

Job Description

We are looking for an experienced Senior QA Automation Engineer to join our growing engineering team. In this role, you will design, develop, and maintain scalable automation frameworks to ensure the quality, reliability, and performance of modern web, mobile, and API-based applications. You will work closely with software developers, DevOps engineers, and product managers in an Agile environment to integrate automated testing throughout the software development lifecycle.

The ideal candidate has strong expertise in test automation, CI/CD pipelines, API testing, and cloud-based applications, with a passion for improving software quality through automation and continuous improvement.

Key Responsibilities

• Design, develop, and maintain robust automation frameworks for web, mobile, and API testing.
• Create and execute automated functional, regression, smoke, integration, and end-to-end test cases.
• Collaborate with developers and product teams to define test strategies and acceptance criteria.
• Integrate automated test suites into CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Perform API testing using Postman, REST Assured, or similar tools to validate backend services.
• Analyze test results, identify root causes of defects, and work closely with engineering teams to resolve issues.
• Improve automation coverage, reduce manual testing efforts, and optimize testing efficiency.
• Conduct cross-browser, cross-platform, and responsive application testing.
• Mentor junior QA engineers and promote automation best practices across the team.
• Maintain detailed test documentation, automation scripts, and quality metrics.
• Participate in Agile ceremonies including sprint planning, daily stand-ups, backlog refinement, and retrospectives.
• Continuously evaluate and recommend new testing tools, frameworks, and automation techniques.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
• 4–8+ years of experience in Software Quality Assurance with a strong focus on automation testing.
• Hands-on experience with Selenium, Playwright, Cypress, or similar automation frameworks.
• Strong programming skills in Java, Python, JavaScript, or C#.
• Experience with REST API testing using Postman, REST Assured, or Karate.
• Strong knowledge of SQL and database validation techniques.
• Experience working with Git and CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
• Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, or Google Cloud).
• Solid understanding of Agile/Scrum software development methodologies.
• Excellent analytical, troubleshooting, and communication skills.

Preferred Qualifications

• Experience testing microservices and cloud-native applications.
• Knowledge of performance testing tools such as JMeter or LoadRunner.
• Familiarity with BDD frameworks such as Cucumber or SpecFlow.
• Experience with test management tools like Jira, TestRail, or Zephyr.
• ISTQB or other QA-related certifications are a plus.

Technical Skills

• Selenium WebDriver
• Playwright
• Cypress
• Java / Python / JavaScript / C#
• Postman
• REST Assured
• SQL
• Jenkins
• Git & GitHub
• Docker
• Kubernetes
• AWS / Azure / Google Cloud
• Jira
• TestRail
• Agile / Scrum

Benefits

• Competitive salary with annual performance bonuses.
• Comprehensive medical, dental, and vision insurance.
• Flexible remote or hybrid work options.
• Paid vacation, holidays, and wellness leave.
• Professional development and certification reimbursement.
• Career growth opportunities in automation leadership and test architecture.
• Collaborative, innovative, and inclusive work environment.

Job Summary

We are seeking an experienced Cybersecurity Consultant to help organizations strengthen their cybersecurity posture, reduce enterprise risk, and meet regulatory compliance requirements. The successful candidate will work closely with executive leadership, IT teams, and business stakeholders to assess security risks, design security strategies, and implement best practices across cloud, on-premises, and hybrid environments.

The Cybersecurity Consultant will lead security assessments, develop governance frameworks, conduct risk analyses, and provide strategic recommendations aligned with industry standards such as NIST CSF, ISO/IEC 27001, CIS Controls, SOC 2, PCI DSS, HIPAA, and GDPR. This role requires strong technical expertise, consulting skills, and the ability to communicate complex security concepts to both technical and non-technical audiences.

Key Responsibilities

• Conduct enterprise cybersecurity risk assessments and security maturity evaluations.
• Develop cybersecurity strategies, roadmaps, and transformation initiatives aligned with business objectives.
• Perform security architecture reviews for cloud, hybrid, and on-premises environments.
• Advise clients on Zero Trust Architecture, Identity & Access Management (IAM), and network security.
• Lead vulnerability assessments, penetration testing coordination, and remediation planning.
• Assess cloud security configurations across AWS, Microsoft Azure, and Google Cloud Platform (GCP).
• Design and implement governance, risk, and compliance (GRC) frameworks.
• Support regulatory compliance initiatives including NIST CSF, ISO 27001, SOC 2, PCI DSS, HIPAA, GDPR, and CMMC.
• Evaluate third-party vendor security risks and supply chain security controls.
• Develop cybersecurity policies, standards, procedures, and security baselines.
• Facilitate tabletop exercises, incident response planning, and cyber resilience assessments.
• Collaborate with SOC, DevSecOps, Infrastructure, and Engineering teams to improve security operations.
• Present executive-level security reports, risk dashboards, and strategic recommendations.
• Stay informed on emerging cyber threats, ransomware trends, AI-driven attacks, and evolving security technologies.
• Mentor junior consultants and contribute to organizational cybersecurity best practices.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related field.
• 8+ years of professional experience in cybersecurity, information security, consulting, or risk management.
• Strong understanding of enterprise security architecture and security frameworks.
• Experience with cloud security (AWS, Azure, or GCP).
• Knowledge of network security, endpoint protection, SIEM, EDR/XDR, IAM, and Zero Trust principles.
• Experience performing security risk assessments and security audits.
• Strong analytical, problem-solving, and stakeholder management skills.
• Excellent written and verbal communication skills.
• Ability to manage multiple client engagements and deliver strategic security recommendations.

Preferred Qualifications

• Master's degree in Cybersecurity, Information Assurance, or Business Administration (MBA).
• Experience with cybersecurity consulting firms or enterprise advisory services.
• Knowledge of AI security, cloud-native security, and container security.
• Familiarity with Infrastructure as Code (Terraform, CloudFormation) and DevSecOps practices.
• Experience working with Fortune 500 organizations or highly regulated industries.

Technical Skills

Security Frameworks

• NIST Cybersecurity Framework (CSF)
• NIST 800-53
• ISO/IEC 27001
• CIS Controls
• SOC 2
• PCI DSS
• HIPAA
• GDPR
• CMMC

Cloud Platforms

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

Security Technologies

• Microsoft Defender XDR
• CrowdStrike Falcon
• Palo Alto Networks
• Splunk
• Microsoft Sentinel
• Google Security Operations
• IBM QRadar
• Rapid7 InsightVM
• Tenable Nessus
• Qualys

Identity & Access Management

• Microsoft Entra ID (Azure AD)
• Okta
• CyberArk
• SailPoint
• Ping Identity

Programming & Automation

• Python
• PowerShell
• Bash
• SQL
• REST APIs

Collaboration & Project Tools

• Jira
• ServiceNow
• Confluence
• Microsoft 365

Preferred Certifications

• CISSP (Certified Information Systems Security Professional)
• CISM (Certified Information Security Manager)
• CISA (Certified Information Systems Auditor)
• CCSP (Certified Cloud Security Professional)
• AWS Certified Security – Specialty
• Microsoft Certified: Cybersecurity Architect Expert
• Certified Ethical Hacker (CEH)
• GIAC Security Certifications (GSEC, GCIH, GPEN)
• CompTIA Security+
• ISO/IEC 27001 Lead Implementer or Lead Auditor

Soft Skills

• Executive communication and presentation
• Strategic thinking and business alignment
• Client relationship management
• Leadership and mentoring
• Risk analysis and decision-making
• Stakeholder engagement
• Project management
• Critical thinking and problem-solving

Job Description

Apple is seeking a Data Scientist – AI Evaluation & Analytics to help evaluate, measure, and improve the quality, reliability, safety, and performance of AI-powered products, including Large Language Models (LLMs), Apple Intelligence, search systems, and conversational AI. This role combines advanced data science, experimentation, statistical analysis, and AI evaluation to develop scalable frameworks that ensure AI systems deliver accurate, trustworthy, and user-centric experiences. Similar roles are actively being hired within Apple's AI evaluation organization.

Key Responsibilities

• Design evaluation frameworks to measure AI model accuracy, reliability, safety, and business impact.
• Develop benchmark datasets, evaluation metrics, and testing methodologies for LLMs and generative AI systems.
• Analyze AI model performance using statistical methods, A/B testing, and experimentation.
• Evaluate hallucinations, bias, toxicity, fairness, and response quality in AI-generated outputs.
• Build automated analytics pipelines using Python, SQL, and distributed data processing tools.
• Partner with ML Engineers, Research Scientists, Product Managers, and Software Engineers to improve AI products.
• Monitor production AI models and identify quality degradation or performance issues.
• Perform root-cause analysis and recommend model improvements based on evaluation findings.
• Create dashboards and executive reports to communicate AI quality metrics and insights.
• Support Responsible AI initiatives by developing governance metrics and model validation processes.
• Research emerging AI evaluation techniques and implement industry best practices.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field.
• 4+ years of experience in Data Science, Machine Learning, or AI Analytics.
• Strong proficiency in Python, SQL, Pandas, NumPy, and Scikit-learn.
• Experience evaluating machine learning or LLM-based applications.
• Solid understanding of statistics, hypothesis testing, experimentation, and predictive analytics.
• Experience working with large datasets and cloud-based analytics platforms.
• Excellent communication and problem-solving skills.

Preferred Skills

• Large Language Models (LLMs)
• Generative AI Evaluation
• Prompt Engineering
• AI Benchmarking
• Human-in-the-Loop (HITL) Evaluation
• A/B Testing & Experiment Design
• Data Visualization (Tableau, Power BI)
• Apache Spark
• MLflow
• LangSmith
• RAG Evaluation
• AWS, Azure, or Google Cloud
• Git and CI/CD

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate (AI-102)
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• Databricks Certified Data Scientist Professional

Benefits

• Competitive base salary with annual performance bonus
• Restricted Stock Units (RSUs)
• Medical, dental, and vision insurance
• Paid vacation and parental leave
• Hybrid work flexibility
• Learning and certification reimbursement
• Career growth within Apple's AI and Machine Learning organization

Job Description

We are seeking an experienced AI Solutions Architect to design, develop, and implement enterprise-scale Artificial Intelligence solutions that accelerate digital transformation and drive business innovation. The ideal candidate will architect AI platforms leveraging Generative AI, Large Language Models (LLMs), Machine Learning, Retrieval-Augmented Generation (RAG), cloud-native AI services, and modern data platforms.

In this role, you will collaborate with business leaders, data scientists, software engineers, cloud architects, and cybersecurity teams to translate business requirements into secure, scalable, and production-ready AI solutions. You will define AI architecture standards, integrate AI services across enterprise systems, and ensure compliance with Responsible AI and data governance practices.

Key Responsibilities

• Design enterprise AI solution architectures using cloud-native AI platforms.
• Lead the architecture and deployment of Generative AI and LLM-powered applications.
• Develop scalable Retrieval-Augmented Generation (RAG) solutions using vector databases and knowledge repositories.
• Design AI workflows for chatbots, intelligent assistants, document processing, recommendation systems, and predictive analytics.
• Integrate AI solutions with enterprise applications, APIs, databases, and cloud services.
• Select appropriate foundation models, embedding models, and orchestration frameworks for business use cases.
• Define AI governance, security, scalability, and Responsible AI standards.
• Collaborate with Data Engineering teams to build AI-ready data pipelines and feature stores.
• Implement AI model deployment, monitoring, versioning, and lifecycle management using MLOps best practices.
• Optimize AI performance, latency, cost, and inference efficiency.
• Conduct architecture reviews and provide technical leadership across AI initiatives.
• Evaluate emerging AI technologies and recommend enterprise adoption strategies.
• Mentor AI engineers, developers, and solution architects on best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• 8+ years of experience in software engineering, cloud architecture, AI, or machine learning.
• 3+ years of experience designing enterprise AI or Generative AI solutions.
• Strong knowledge of Large Language Models (LLMs), Prompt Engineering, RAG, and AI orchestration frameworks.
• Experience with cloud AI platforms such as Microsoft Azure AI, AWS Bedrock, or Google Vertex AI.
• Proficiency in Python, REST APIs, SQL, and microservices architecture.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Strong understanding of AI security, governance, privacy, and compliance.
• Excellent communication, stakeholder management, and technical leadership skills.

Preferred Skills

• Generative AI
• Large Language Models (LLMs)
• OpenAI GPT Models
• Anthropic Claude
• Google Gemini
• Microsoft Azure AI Foundry
• AWS Bedrock
• Google Vertex AI
• LangChain
• LlamaIndex
• Semantic Kernel
• Hugging Face Transformers
• Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Python
• SQL
• Docker
• Kubernetes
• MLflow
• Apache Spark
• Azure Data Factory
• Databricks
• Git
• CI/CD
• Terraform

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate (AI-102)
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
• AWS Certified Machine Learning – Specialty
• AWS Certified Solutions Architect – Professional
• Google Professional Machine Learning Engineer
• Google Professional Cloud Architect
• Databricks Certified Machine Learning Professional
• Kubernetes Certified Application Developer (CKAD)

Benefits

• Competitive salary with annual performance bonus
• Medical, dental, and vision insurance
• Flexible remote and hybrid work options
• Paid vacation and company holidays
• Employee stock purchase program (where applicable)
• Professional certification reimbursement
• Learning and development budget
• Career advancement opportunities in AI and cloud technologies

Job Description

We are seeking a skilled SD-WAN Network Engineer to design, deploy, and manage enterprise Software-Defined Wide Area Network (SD-WAN) solutions across multiple branch offices, data centers, and cloud environments. The ideal candidate will have hands-on experience with Cisco SD-WAN (Viptela), VMware SD-WAN (VeloCloud), Fortinet Secure SD-WAN, Palo Alto Prisma SD-WAN, or Aruba EdgeConnect, along with expertise in routing, switching, network security, and cloud networking.

In this role, you will optimize WAN performance, enhance network reliability, and support digital transformation initiatives by implementing secure, scalable, and automated SD-WAN architectures. You will collaborate with network architects, cloud engineers, and cybersecurity teams to ensure seamless connectivity across hybrid and multi-cloud environments.

Key Responsibilities

• Design, deploy, and maintain enterprise SD-WAN solutions across branch offices and cloud environments.
• Configure and manage SD-WAN edge devices, controllers, and orchestrators.
• Implement dynamic path selection, application-aware routing, and WAN optimization policies.
• Configure VPNs, IPsec tunnels, QoS, traffic shaping, and secure network segmentation.
• Monitor network performance, bandwidth utilization, and application availability using enterprise monitoring tools.
• Troubleshoot complex Layer 2, Layer 3, and SD-WAN connectivity issues.
• Integrate SD-WAN with AWS, Microsoft Azure, Google Cloud Platform (GCP), and SaaS applications.
• Configure routing protocols including BGP, OSPF, EIGRP, and static routing.
• Collaborate with cybersecurity teams to implement Zero Trust Network Access (ZTNA), firewall policies, and secure remote connectivity.
• Automate network configuration and deployment using Python, Ansible, REST APIs, or Terraform.
• Perform software upgrades, firmware updates, and configuration backups.
• Create and maintain network diagrams, architecture documentation, and operational procedures.
• Participate in network disaster recovery planning and business continuity initiatives.
• Provide Tier 3 support and mentor junior network engineers.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Network Engineering, or a related field.
• 4–8+ years of experience in enterprise networking.
• 3+ years of hands-on experience implementing and supporting SD-WAN solutions.
• Strong knowledge of TCP/IP, IPv4/IPv6, LAN/WAN, VLANs, VPNs, QoS, NAT, and MPLS.
• Experience with Cisco Catalyst, Cisco ISR/ASR, Juniper, Aruba, or Fortinet networking devices.
• Experience with cloud networking in AWS, Azure, or GCP.
• Strong troubleshooting and analytical skills.
• Excellent communication and documentation skills.

Preferred Skills

• Cisco SD-WAN (Viptela)
• VMware SD-WAN (VeloCloud)
• Fortinet Secure SD-WAN
• Palo Alto Prisma SD-WAN
• Aruba EdgeConnect
• Cisco DNA Center
• BGP, OSPF, EIGRP
• MPLS
• VPN/IPsec
• QoS
• SD-Access
• VXLAN
• Python
• Ansible
• Terraform
• REST APIs
• AWS Networking
• Azure Virtual WAN
• Linux
• Git
• Wireshark
• SolarWinds
• ThousandEyes

Preferred Certifications

• Cisco Certified Network Professional (CCNP Enterprise)
• Cisco Certified Internetwork Expert (CCIE Enterprise Infrastructure)
• Cisco SD-WAN Specialist Certification
• VMware VCP-NV
• Fortinet NSE 4 or NSE 7
• Palo Alto PCNSE
• AWS Certified Advanced Networking – Specialty
• Microsoft Certified: Azure Network Engineer Associate (AZ-700)

Benefits

• Competitive salary with annual performance bonus
• Medical, dental, and vision insurance
• Flexible remote/hybrid work options
• Paid vacation and company holidays
• Employee stock purchase plan (where applicable)
• Professional certification reimbursement
• Ongoing technical training and career development
• Health and wellness programs

Job Description

We are seeking a highly experienced Senior Power BI Solutions Architect to lead the design, development, and implementation of enterprise-scale Business Intelligence solutions. The ideal candidate will architect modern analytics platforms using Microsoft Power BI, Microsoft Fabric, Azure Synapse Analytics, SQL Server, Azure Data Factory, and Power Platform to deliver secure, scalable, and high-performance reporting solutions.

This role partners closely with business stakeholders, data engineers, cloud architects, and executive leadership to transform complex business requirements into actionable insights through interactive dashboards, semantic models, and enterprise analytics. The successful candidate will establish BI governance, optimize data models, and drive analytics modernization across the organization.

Key Responsibilities

• Design and implement enterprise-scale Power BI architecture and reporting solutions.
• Develop scalable semantic models, reusable datasets, and optimized star schemas.
• Build interactive executive dashboards, KPI scorecards, and self-service analytics solutions.
• Create advanced DAX measures, calculated columns, and Power Query (M) transformations.
• Integrate Power BI with Microsoft Fabric, Azure Synapse Analytics, SQL Server, Azure Data Lake, SharePoint, Dynamics 365, and third-party applications.
• Optimize report performance using DirectQuery, Import, Composite Models, Aggregations, and Incremental Refresh.
• Implement Row-Level Security (RLS), Object-Level Security (OLS), sensitivity labels, and enterprise governance standards.
• Design and manage Power BI workspaces, deployment pipelines, and CI/CD processes using Azure DevOps and Git.
• Collaborate with data engineering teams to develop reliable ETL/ELT pipelines and data warehouse solutions.
• Monitor Power BI Service performance, Premium Capacity utilization, and report usage analytics.
• Establish BI development standards, governance frameworks, documentation, and best practices.
• Mentor Power BI developers, analysts, and junior architects while conducting technical design reviews.
• Support enterprise digital transformation initiatives using Microsoft Fabric, Power Platform, and AI-driven analytics.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 8+ years of experience in Business Intelligence, Data Analytics, or Data Warehousing.
• 5+ years of hands-on experience with Microsoft Power BI.
• Strong expertise in DAX, Power Query (M), SQL, and data modeling.
• Experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure SQL Database, and Azure Data Lake.
• Strong understanding of dimensional modeling, star schema, snowflake schema, and semantic modeling.
• Experience implementing enterprise security using RLS, OLS, and Azure Active Directory.
• Experience with Power BI Premium, Fabric Capacity, Deployment Pipelines, and workspace administration.
• Knowledge of Power Platform (Power Automate, Power Apps) is preferred.
• Excellent communication, leadership, and stakeholder management skills.

Preferred Skills

• Microsoft Power BI
• Microsoft Fabric
• Azure Synapse Analytics
• Azure Data Factory
• SQL Server
• Azure SQL Database
• Azure Data Lake Storage
• DAX
• Power Query (M)
• Power Platform
• Power Automate
• Power Apps
• Microsoft Entra ID (Azure AD)
• Azure DevOps
• Git
• CI/CD
• Data Warehousing
• ETL/ELT
• Data Governance
• Data Modeling
• REST APIs
• Python (Preferred)

Benefits

• Competitive salary with annual performance bonus
• Medical, dental, and vision insurance
• Flexible remote/hybrid work options
• Paid vacation and holidays
• Professional certification reimbursement
• Microsoft training and learning opportunities
• Career advancement within enterprise data and analytics teams

Job Description

We are seeking an experienced Power BI Solutions Architect to lead the design, architecture, and implementation of enterprise-scale Business Intelligence (BI) solutions using Microsoft Power BI, Microsoft Fabric, Azure Data Services, and the Microsoft Power Platform.

The ideal candidate will work closely with business executives, data engineers, solution architects, and development teams to design scalable analytics platforms that enable self-service reporting, advanced data visualization, and real-time business insights. This role requires deep expertise in BI architecture, data modeling, governance, security, cloud analytics, and enterprise reporting best practices.

As a technical leader, you will define BI standards, optimize enterprise reporting environments, and ensure data quality, performance, security, and scalability across the organization.

Key Responsibilities

• Design and implement enterprise-wide Business Intelligence architecture using Microsoft Power BI and Microsoft Fabric.
• Lead the end-to-end architecture of reporting, analytics, and data visualization solutions.
• Collaborate with business stakeholders to define analytics strategies and reporting roadmaps.
• Design scalable semantic models, data marts, and enterprise data models.
• Develop governance frameworks for Power BI workspaces, datasets, and reports.
• Establish best practices for report development, performance tuning, and deployment.
• Design secure BI solutions using Row-Level Security (RLS), Object-Level Security (OLS), and Microsoft Entra ID integration.
• Architect data integration solutions using Azure Data Factory, Microsoft Fabric, SQL Server, and Azure Synapse Analytics.
• Optimize large-scale Power BI environments for performance, scalability, and high availability.
• Define enterprise KPI frameworks and executive dashboards.
• Mentor Power BI Developers, Data Analysts, and BI Engineers.
• Lead code reviews, architecture reviews, and technical design sessions.
• Implement CI/CD pipelines using Azure DevOps and Git for Power BI deployments.
• Monitor Power BI Service capacity, gateways, refresh schedules, and tenant administration.
• Support executive leadership with enterprise reporting and strategic analytics initiatives.
• Evaluate emerging Microsoft technologies and recommend innovative BI solutions.
• Ensure compliance with data governance, security, privacy, and regulatory standards.

Required Skills

• Microsoft Power BI
• Microsoft Fabric
• Power BI Service Administration
• DAX (Advanced)
• Power Query (M Language)
• Enterprise Data Modeling
• SQL Server
• Azure SQL Database
• Azure Synapse Analytics
• Azure Data Factory
• Azure Data Lake Storage Gen2
• Microsoft Entra ID (Azure AD)
• Row-Level Security (RLS)
• Object-Level Security (OLS)
• Enterprise BI Architecture
• Data Warehousing
• ETL/ELT Design
• Performance Optimization
• Azure DevOps
• Git
• Power Platform
• Power Apps
• Power Automate
• API Integration
• Executive Dashboard Design
• Business Intelligence Strategy
• Cloud Architecture
• Data Governance
• Leadership & Stakeholder Management

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, Information Systems, or a related field.
• 7–10+ years of experience in Business Intelligence, Data Analytics, or Enterprise Reporting.
• 5+ years of hands-on experience designing enterprise Power BI solutions.
• Strong expertise in Azure cloud services and Microsoft Fabric.
• Experience leading BI architecture for large enterprise environments.
• Experience working with Agile and DevOps methodologies.
• Excellent communication, leadership, and presentation skills.

Preferred Certifications

• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
• Microsoft Certified: Azure Administrator Associate (AZ-104)
• Microsoft Certified: Azure Data Fundamentals (DP-900)
• Microsoft Certified: Power Platform Solution Architect Expert (PL-600)

Preferred Tools & Technologies

• Microsoft Power BI
• Microsoft Fabric
• Power BI Service
• SQL Server
• Azure SQL Database
• Azure Synapse Analytics
• Azure Data Factory
• Azure Data Lake Storage
• Azure DevOps
• GitHub
• Microsoft Entra ID
• Microsoft Purview
• Power Apps
• Power Automate
• SQL Server Management Studio (SSMS)
• Visual Studio Code
• Jira
• Confluence
• SharePoint
• Microsoft Excel
• Python (Basic)
• R (Basic)

Benefits

• Competitive salary with annual performance bonuses
• Medical, Dental, and Vision insurance
• Flexible Remote/Hybrid work model
• Paid Time Off (PTO) and company holidays
• Stock purchase or equity programs (where applicable)
• Certification reimbursement and professional development budget
• Leadership training and career advancement opportunities
• Employee wellness and mental health programs
• Tuition assistance and learning resources

Job Description

We are looking for a Cybersecurity Analyst to protect the organization's networks, systems, applications, and sensitive data from cyber threats. The successful candidate will monitor security events, investigate incidents, assess vulnerabilities, implement security controls, and collaborate with IT teams to strengthen the organization's cybersecurity posture.

The ideal candidate has experience with Security Operations Centers (SOC), SIEM platforms, endpoint security, vulnerability management, and cloud security technologies.

Key Responsibilities

• Monitor security alerts using SIEM platforms such as Microsoft Sentinel, Splunk, or QRadar.
• Analyze security events and investigate potential cyber threats.
• Detect, triage, and respond to cybersecurity incidents.
• Conduct vulnerability assessments and coordinate remediation activities.
• Perform threat analysis and recommend mitigation strategies.
• Monitor endpoint detection and response (EDR) tools.
• Support phishing investigations and email security initiatives.
• Review firewall, IDS/IPS, VPN, and network security logs.
• Collaborate with IT teams to implement security best practices.
• Assist with security audits, compliance assessments, and risk management activities.
• Develop incident response documentation and playbooks.
• Support cloud security monitoring across AWS, Azure, and Google Cloud.
• Create security reports and dashboards for leadership.
• Stay current with emerging cyber threats, attack techniques, and industry trends.

Required Skills

• Security Operations Center (SOC)
• SIEM (Microsoft Sentinel, Splunk, IBM QRadar)
• Incident Response
• Threat Detection
• Vulnerability Assessment
• Endpoint Detection & Response (Microsoft Defender, CrowdStrike)
• Network Security
• TCP/IP
• DNS
• Firewalls
• VPN
• Active Directory
• Microsoft 365 Security
• Cloud Security (AWS, Azure, GCP)
• PowerShell or Python (Basic)
• MITRE ATT&CK Framework
• NIST Cybersecurity Framework
• Risk Assessment
• Analytical & Problem-Solving Skills

Preferred Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field.
• 2–5 years of cybersecurity or SOC experience.
• Experience with SIEM and EDR platforms.
• Knowledge of Windows, Linux, and cloud environments.
• Familiarity with Zero Trust security architecture.
• Strong written and verbal communication skills.

Preferred Certifications

• CompTIA Security+
• CompTIA CySA+
• GIAC Certified Incident Handler (GCIH)
• GIAC Certified Intrusion Analyst (GCIA)
• Certified Information Systems Security Professional (CISSP)
• Microsoft Certified: Security Operations Analyst (SC-200)
• Microsoft Certified: Cybersecurity Architect Expert (SC-100)
• AWS Certified Security – Specialty
• Certified Ethical Hacker (CEH)

Common Tools & Technologies

• Microsoft Sentinel
• Splunk Enterprise Security
• IBM QRadar
• CrowdStrike Falcon
• Microsoft Defender XDR
• Microsoft Defender for Endpoint
• Palo Alto Cortex XDR
• Tenable Nessus
• Qualys VMDR
• Rapid7 InsightVM
• Microsoft Entra ID
• Okta
• Cisco Secure Firewall
• Palo Alto Networks
• Wireshark
• Burp Suite
• Nmap
• Microsoft Azure
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)
• Jira
• ServiceNow

Benefits

• Competitive salary with annual bonus
• Medical, Dental, and Vision insurance
• Remote/Hybrid work options
• Paid Time Off (PTO)
• Paid certifications and professional training
• Career advancement opportunities
• Wellness programs
• Employee Assistance Program (EAP)

Job Description

We are seeking a Product Business Analyst to bridge the gap between business stakeholders, customers, and product development teams. In this role, you will analyze business needs, gather and prioritize product requirements, and translate them into detailed functional specifications and user stories. You will work closely with Product Managers, UX/UI Designers, Software Engineers, QA teams, and stakeholders to deliver innovative, customer-focused digital products that align with business objectives.

The ideal candidate has strong analytical skills, experience with Agile methodologies, and a passion for creating data-driven product solutions that enhance user experience and business performance.

Key Responsibilities

• Gather, analyze, and document business and product requirements from internal and external stakeholders.
• Translate business needs into detailed user stories, acceptance criteria, and functional specifications.
• Collaborate with Product Managers to define product vision, roadmap, and feature prioritization.
• Conduct market research, competitor analysis, and customer feedback analysis to identify product opportunities.
• Work closely with UX/UI teams to improve product usability and customer experience.
• Participate in Agile ceremonies, including sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.
• Support software development teams by clarifying requirements throughout the development lifecycle.
• Coordinate User Acceptance Testing (UAT) and validate product functionality before release.
• Define and monitor product KPIs, customer engagement metrics, and business outcomes.
• Identify process improvement opportunities to optimize product delivery and operational efficiency.
• Create process flows, wireframes, and business documentation using industry-standard tools.
• Collaborate with engineering, QA, marketing, sales, and customer success teams to ensure successful product launches.
• Support change management and user adoption initiatives for new product features.
• Maintain product documentation and ensure alignment with business goals and compliance requirements.

Required Skills

• Business Analysis
• Product Management Fundamentals
• Agile & Scrum Methodologies
• Requirements Gathering & Documentation
• User Story Writing
• Backlog Management
• Stakeholder Management
• Business Process Modeling (BPMN)
• SQL
• Microsoft Excel (Advanced)
• Jira
• Confluence
• Microsoft Visio or Lucidchart
• Data Analysis
• Product Analytics
• User Acceptance Testing (UAT)
• Communication & Presentation Skills
• Problem Solving & Critical Thinking

Preferred Qualifications

• Bachelor's degree in Business Administration, Information Systems, Computer Science, or a related field.
• 3–7 years of experience as a Product Business Analyst, Business Analyst, or Product Analyst.
• Experience working in Agile/Scrum product development environments.
• Knowledge of SaaS products, cloud platforms, or digital applications.
• Familiarity with Power BI, Tableau, or Google Analytics is a plus.
• Experience with APIs and system integrations is preferred.

Preferred Tools & Technologies

• Jira
• Confluence
• Azure DevOps
• SQL
• Power BI
• Tableau
• Microsoft Excel
• Visio
• Lucidchart
• Figma
• Miro
• Google Analytics
• Postman
• Salesforce
• Microsoft Teams
• Slack

Benefits

• Competitive salary with annual performance bonus
• Medical, Dental, and Vision insurance
• Paid Time Off (PTO) and company holidays
• Flexible remote/hybrid work options
• Professional development and certification reimbursement
• Career advancement opportunities
• Employee wellness programs
• Paid parental leave

Job Summary

We are seeking an experienced AI Governance & Risk Specialist to establish and manage governance, risk, and compliance frameworks for Artificial Intelligence (AI) systems across the enterprise. In this role, you will work closely with AI Engineers, Data Scientists, Security, Legal, Privacy, Compliance, and Product teams to ensure AI solutions are developed and deployed responsibly, securely, and in accordance with regulatory and organizational requirements. The ideal candidate has expertise in AI governance, enterprise risk management, regulatory compliance, cybersecurity, and Responsible AI principles.

Key Responsibilities

• Develop and maintain enterprise AI governance frameworks, policies, standards, and procedures.
• Conduct AI risk assessments across machine learning models, Generative AI applications, and Large Language Models (LLMs).
• Evaluate AI systems for fairness, bias, explainability, transparency, privacy, and security risks.
• Ensure compliance with applicable AI regulations, privacy laws, and industry standards.
• Establish AI risk registers, governance committees, and approval workflows.
• Perform AI impact assessments before production deployments.
• Collaborate with Legal, Security, Compliance, Privacy, Data Science, and Engineering teams on AI governance initiatives.
• Monitor AI systems for ongoing compliance, performance, and operational risk.
• Support internal and external audits related to AI governance and regulatory compliance.
• Prepare executive reports, dashboards, and risk assessments for senior leadership.
• Track emerging AI regulations and recommend governance improvements.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Data Science, Risk Management, or a related field.
• 5–8+ years of experience in Governance, Risk & Compliance (GRC), Cybersecurity, Enterprise Risk, or AI Governance.
• Experience implementing governance frameworks for AI or machine learning systems.
• Strong understanding of AI lifecycle, machine learning concepts, and Generative AI technologies.
• Knowledge of enterprise risk management, cybersecurity, and regulatory compliance.
• Excellent analytical, communication, and stakeholder management skills.

Preferred Skills

• AI Governance
• Responsible AI
• Enterprise Risk Management
• AI Risk Assessments
• Generative AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI Model Governance
• AI Security
• Privacy & Data Protection
• Regulatory Compliance
• Third-Party Risk Management
• Cloud Security Governance
• Audit & Compliance

Technical Skills

• NIST AI Risk Management Framework (AI RMF)
• ISO/IEC 42001 (AI Management Systems)
• ISO/IEC 23894 (AI Risk Management)
• ISO 27001
• NIST Cybersecurity Framework (CSF)
• SOC 2
• GDPR
• HIPAA
• PCI DSS
• COBIT
• ServiceNow Integrated Risk Management (IRM)
• Archer GRC
• OneTrust
• Microsoft Purview
• Azure AI Foundry
• AWS AI Services
• Google Cloud Vertex AI
• Power BI
• SQL (preferred)
• Python (basic scripting for automation is a plus)

Benefits

• Competitive salary with annual performance bonus.
• Medical, dental, and vision insurance.
• Paid vacation, holidays, and parental leave.
• Flexible remote and hybrid work options.
• Employee stock purchase plan or equity (where applicable).
• Professional development budget for certifications and conferences.

Job Summary

We are seeking a highly skilled Senior AI Data Scientist to lead the design, development, and deployment of advanced Artificial Intelligence (AI) and Machine Learning (ML) solutions. In this role, you will work with large-scale datasets, build predictive models, develop Generative AI applications, and collaborate with cross-functional teams to solve complex business challenges. The ideal candidate has strong expertise in data science, deep learning, Large Language Models (LLMs), statistical modeling, and cloud-based AI platforms.

Key Responsibilities

• Design, develop, and deploy machine learning and deep learning models for production environments.
• Build predictive analytics, recommendation systems, forecasting models, and AI-powered decision support solutions.
• Develop and optimize Generative AI applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
• Analyze structured and unstructured data to identify trends, patterns, and business opportunities.
• Perform feature engineering, data preprocessing, and model optimization.
• Fine-tune foundation models and evaluate model accuracy, precision, recall, and performance.
• Build scalable AI pipelines using Python and cloud-native technologies.
• Collaborate with Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver AI-driven solutions.
• Monitor deployed models for performance, bias, drift, and reliability.
• Mentor junior Data Scientists and provide technical leadership on AI initiatives.
• Communicate complex analytical findings to technical and non-technical audiences.
• Stay current with emerging AI technologies, research, and industry best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field (Ph.D. preferred for research-focused roles).
• 5–8+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.
• Strong programming skills in Python, SQL, and data analysis libraries.
• Experience developing and deploying production-grade AI/ML models.
• Hands-on experience with supervised and unsupervised learning techniques.
• Strong understanding of statistical analysis, probability, and predictive modeling.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving, communication, and leadership skills.

Preferred Skills

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• LangChain or LangGraph
• Hugging Face Transformers
• Vector Databases (Pinecone, FAISS, ChromaDB)
• MLOps (MLflow, Kubeflow)
• Docker & Kubernetes
• Apache Spark
• AI Model Monitoring
• Responsible AI and AI Governance

Technical Skills

• Python
• SQL
• Pandas
• NumPy
• Scikit-learn
• TensorFlow
• PyTorch
• XGBoost
• LightGBM
• Hugging Face
• OpenAI API
• LangChain
• MLflow
• Apache Spark
• Databricks
• Docker
• Kubernetes
• Git & GitHub
• AWS SageMaker / Azure Machine Learning / Google Vertex AI
• Power BI or Tableau

Preferred Industry Experience

• Artificial Intelligence
• Financial Services
• Healthcare
• Cybersecurity
• Retail & E-commerce
• Manufacturing
• Telecommunications
• Cloud Computing
• Autonomous Systems

Benefits

• Competitive salary with annual performance bonus.
• Medical, dental, and vision insurance.
• Paid vacation, holidays, and parental leave.
• Flexible remote and hybrid work options.
• Employee stock purchase plan or equity (where applicable).
• Learning and development budget for AI certifications and conferences.