Apply on Employer Site

Battelle · 1 day ago

AI Engineer

Chantilly, VA

Full-time

Hybrid

Senior Level

6+ years exp

Battelle is a research and development organization that delivers critical services for various clients. They are currently seeking an AI Engineer to design, build, and deploy secure AI solutions using generative AI and cloud technologies, while collaborating with technical and business teams.

Biotechnology

No H1B

U.S. Citizen Only

Responsibilities

Cloud Integrations: Design and implement AI solutions integrated with cloud platforms such as Azure and AWS, ensuring scalability and security

AI & ML Pipeline Development: Build and optimize end-to-end AI pipelines and ML workflows for training, fine-tuning, and deploying models

LLM Development: Fine-tune foundation models and/or train custom LLMs; integrate LLMs into enterprise applications and systems

Generative AI Solutions: Leverage LLMs and related frameworks for application and systems development

Secure-by-Design Development: Implement robust security practices in software development using modern, high-level languages

Performance Evaluation: Conduct comprehensive evaluations of AI/ML pipelines, model performance, generative AI capabilities, and code quality; iterate for continuous improvement

AI Engineering Operations: Apply MLOps and AI engineering best practices, including containerization, CI/CD pipelines, monitoring, and lifecycle management

Technical Documentation: Produce clear, comprehensive documentation and communicate effectively with both technical and non-technical stakeholders

Mentorship & Peer Training: Provide guidance, mentorship, and training for team members and peers to foster knowledge sharing and skill development

Research & Innovation: Participate in research and development initiatives, pilot programs, and innovation sprints to explore novel AI capabilities and opportunities

Qualification

AI/ML engineeringCloud platforms AzureCloud platforms AWSGenerative AI frameworksPython programmingMLOps practicesCI/CD pipelinesLLM fine-tuningTechnical documentationMentorshipCommunication

Required

Bachelor's degree in computer science, Data Science, Engineering, or related field with 8+ years of experience; or a master's degree with 6+ years of experience in AI/ML-focused development

Demonstrated experience with cloud-based AI/ML services and tools in Azure and/or AWS environments

Hands-on experience with GenAI frameworks (e.g., OpenAI, Azure OpenAI, Hugging Face), LLMs, and agent frameworks (e.g., LangChain, Semantic Kernel)

Proficiency in Python and related AI/ML libraries such as TensorFlow, PyTorch, or Scikit-learn

Familiarity with CI/CD pipelines, containerization (Docker), and DevOps for ML (MLOps) practices

U.S. Citizenship

Proven track record in designing AI/ML pipelines and deploying AI solutions

Hands-on experience with LLM fine-tuning, generative AI, and secure software development

Familiarity with DevOps/MLOps tools (Docker, Kubernetes, CI/CD)

Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn

Experience with OpenAI, Azure OpenAI, Hugging Face, LangChain, Semantic Kernel

Knowledge of cloud platforms: Azure, AWS; exposure to Power Platform and Microsoft Copilot is a plus

Strong communication skills and ability to advocate for projects and departmental goals