AI Data Scientist (HUD)

Motion Recruitment Partners LLC.
United States
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Cloud Computing Information Technology Consulting Data Infrastructure Distributed Systems Python (Programming Language) Machine Learning NumPy
+14 more
Tensorflow Google Cloud Pytorch Large Language Models Deep Learning Model Validation Generative AI Pandas AI Platforms Scikit Learn Information Technology Machine Learning Operations Devsecops Microservices

Requirements

A federal technology consulting company is seeking a Senior Data Scientist to join its team. The ideal candidate will have 10+ years of experience in data science, machine learning, or applied AI, with a background in designing, developing, and deploying enterprise-scale AI/ML solutions and exposure to areas such as predictive modeling, deep learning, large language models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, experimentation, and AI governance. Experience with Python, Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow is wanted, and prior work with cloud platforms, big data technologies, federal AI governance frameworks, sensitive data environments, and production ML systems is preferred. U.S. citizenship is required, and a Public Trust clearance is preferred. Required Skills & Experience

  • 10+ years of data science, ML, or AI experience
  • Expert-level Python skills
  • Machine learning, deep learning, and LLM experience
  • RAG, vector databases, and generative AI tools
  • MLOps and production model deployment
  • Cloud platforms (AWS, Azure, Google Cloud Platform)
  • Enterprise-scale AI and analytics delivery
  • Statistics, experimentation, and model evaluation
  • Bachelor’s or Master’s degree in a related field
  • A degree in Computer Science, Engineering or a related field, Applicants must be currently authorized to work in the US on a full-time basis now and in the future., * 12-15 years of experience
  • Cloud platforms (Azure, AWS, Google Cloud Platform), including FedRAMP environments
  • AI/ML experience, including building and deploying production systems
  • Expert-level Python development
  • AI platforms and architectures (AWS Bedrock, Azure OpenAI Services, Google Vertex AI, RAG, agents)
  • Success delivering enterprise-scale systems and modernization programs
  • Background in microservices, APIs, distributed systems, and DevSecOps practices
  • Ability to translate AI research into production system
  • A degree in Computer Science, Engineering or a related field

Benefits & conditions

  • Competitive Hourly Rate
  • Full-Health Benefits

You will receive the following benefits:

  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)

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