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Data Scientist / AI Engineer — Palantir
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Data Science & Artificial Intelligence · Verified Opening #70

Data Scientist / AI Engineer

business Palantir location_on United States - Remote home_work Remote Full Time

Compensation

$85K – 115K/yr

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Published Date

1 hour ago

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Work Arrangement

Remote • United States - Remote

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Open Positions

3 openings

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Experience Level

Entry-to-Mid Level

overview Role Overview

About the opportunity

Join American Tech Global LLC as a Data Scientist / AI Engineer and build data-driven solutions using machine learning, generative AI, large language models, Python, and modern analytics technologies.

American Tech Global LLC is seeking a Data Scientist / AI Engineer to design, develop, and deploy intelligent data and AI solutions. This role is well suited for professionals with hands-on experience in Python, SQL, machine learning, data analysis, deep learning, and generative AI. You will work on real-world datasets, build predictive and AI-powered applications, collaborate with technical and business teams, and contribute to the complete lifecycle of data science projects from exploratory analysis and feature engineering through model deployment and performance monitoring. The position provides opportunities to work with modern AI technologies, including large language models, embeddings, prompt engineering, and cloud-based machine learning platforms.
task Core Responsibilities

What you will do

  • check_circle Analyze large structured and unstructured datasets to identify trends, patterns, business insights, and opportunities for predictive modeling.
  • check_circle Design, train, evaluate, and optimize machine learning models for classification, regression, clustering, forecasting, and other business use cases.
  • check_circle Develop Python-based data pipelines and perform data cleaning, feature engineering, exploratory data analysis, and statistical analysis.
  • check_circle Build generative AI and LLM-powered applications using prompt engineering, embeddings, vector databases, APIs, and retrieval-augmented generation techniques.
  • check_circle Collaborate with data engineers, software developers, product teams, and business stakeholders to translate requirements into scalable AI solutions.
  • check_circle Deploy, monitor, and improve machine learning models while documenting experiments, model performance, assumptions, and technical methodologies.
verified_user Candidate Profile

What we are looking for

  • arrow_circle_right Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience.
  • arrow_circle_right Hands-on proficiency with Python, SQL, Pandas, NumPy, and data visualization libraries such as Matplotlib or similar tools.
  • arrow_circle_right Strong understanding of machine learning concepts including regression, classification, clustering, feature engineering, model evaluation, and statistical analysis.
  • arrow_circle_right Experience with machine learning or deep learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • arrow_circle_right Working knowledge of generative AI, large language models, prompt engineering, embeddings, or retrieval-augmented generation is preferred.
  • arrow_circle_right Strong analytical, problem-solving, communication, and collaboration skills with the ability to explain technical findings to non-technical stakeholders.
code_blocks Technologies & Competencies

Skills & Tech Stack

Python SQL Machine Learning Data Science Generative AI Large Language Models Deep Learning Pandas
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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Fast-Track Hiring Visibility

Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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