Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
Job Title:Senior Machine Learning Engineer LLMs & Cloud AI
Location:Hybrid (Remote Onsite as needed)
Clearance Requirement:Must be eligible for Public Trust
About the Role
Join a mission-driven team at the forefront of AI innovation in the public sector. Were seeking a Senior Machine Learning Engineer with deep expertise in Large Language Models (LLMs) LangChain and OpenAI technologies to lead the development of intelligent secure and scalable AI systems in a cloud-native environment.
This role is ideal for a seasoned AI professional ready to architect and deploy advanced ML workflows that support federal initiatives and deliver real-world impact.
Key Responsibilities
- Design fine-tune and deploy LLMs (e.g. GPT-4 LLaMA T5) for generative AI summarization classification and conversational tasks.
- Build intelligent agent-based applications using LangChain including tools chains memory and RAG pipelines.
- Architect and deploy AI/ML systems on AWS (SageMaker Lambda Bedrock Redshift S3 ECS/EKS).
- Integrate OpenAI APIs (GPT-4 embeddings function calling) into secure compliant federal applications.
- Develop robust MLOps pipelines using MLflow SageMaker Pipelines and Step Functions.
- Implement and manage vector databases (FAISS Pinecone OpenSearch) for embedding-based search.
- Ensure all implementations meet federal security privacy and compliance standards.
- Experiment with prompt engineering hyperparameter tuning and inference optimization.
- Collaborate with engineering DevOps and compliance teams to deploy production-ready AI services.
- Document architecture and workflows to support transparency and auditability.
- Stay current with emerging trends in LLMs LangChain OpenAI and AWS AI/ML services.
Required Skills and Experience
- Bachelors or Masters degree in Computer Science Data Science AI or a related field.
- 8 years of experience in machine learning and AI system development.
- Strong background in NLP and transformer-based architectures (GPT-style models).
- Hands-on experience with LangChain and OpenAI APIs.
- Proficiency in AWS services (SageMaker Bedrock Lambda S3 Redshift ECS/EKS).
- Skilled in Python and libraries such as Hugging Face PyTorch TensorFlow FastAPI and scikit-learn.
- Solid understanding of MLOps CI/CD containerization and pipeline automation.
- Must be eligible to obtain and retain Public Trust clearance.
Preferred Qualifications
- Experience supporting federal agencies or public sector AI initiatives.
- Expertise in retrieval-augmented generation (RAG) prompt engineering and embedding-based search.
- Familiarity with LangSmith OpenAI fine-tuning and multi-agent systems.
- Experience with Docker Kubernetes and scalable containerized services.
- Knowledge of ethical AI bias mitigation and AI governance best practices.
Required Experience:
Senior IC
Employment Type
Full Time
