Data Scientist / AI Engineer

About the opportunity

Join a growing technology team as a Data Scientist / AI Engineer, building production-ready machine learning, generative AI, and data-driven solutions that solve real-world business challenges.

What you will do

• check_circle Design, develop, evaluate, and deploy machine learning models for classification, regression, forecasting, recommendation, and anomaly detection use cases.
• check_circle Analyze large structured and unstructured datasets using Python, SQL, statistical techniques, and exploratory data analysis to identify actionable business insights.
• check_circle Build generative AI and LLM-powered applications using prompt engineering, embeddings, vector databases, retrieval-augmented generation, and modern AI frameworks.
• check_circle Develop reusable data preprocessing, feature engineering, model training, validation, and inference pipelines for production AI systems.
• check_circle Collaborate with data engineers, software engineers, product managers, and business stakeholders to translate requirements into scalable data science solutions.
• check_circle Monitor model accuracy, data quality, performance drift, and production metrics while recommending improvements to deployed machine learning systems.

What we are looking for

• arrow_circle_right 2+ years of professional experience in data science, machine learning, artificial intelligence, analytics, or a closely related technical role.
• arrow_circle_right Strong proficiency in Python, SQL, Pandas, NumPy, scikit-learn, and data visualization tools such as Matplotlib or Power BI.
• arrow_circle_right Practical understanding of statistics, supervised and unsupervised learning, feature engineering, model evaluation, and experimentation.
• arrow_circle_right Hands-on experience with machine learning or deep learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• arrow_circle_right Familiarity with generative AI, large language models, prompt engineering, embeddings, APIs, or retrieval-augmented generation architectures.
• arrow_circle_right Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, Mathematics, or equivalent practical experience.

Skills & Tech Stack