Description
Active TS/SCI w/ Polygraph required.
Key Responsibilities:
• Knowledge and experience of Language models is required
o Specific experience with Marian and multi-lingual model development
• Knowledge of Computation Linguistics is a plus
• Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
• Strong Java, C, C++ programming experience
• Willingness to support occasional on-call duties is a plus
• Model Development & Training:
o Build, train, and fine-tune machine learning models, particularly language models
o Apply best practices in model training, tuning, and optimization.
o Design and implement solutions for model performance improvement.
• Evaluation & Testing:
o Conduct rigorous model evaluation, including performance analysis and benchmarking.
o Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.
• Model Deployment & Integration:
o Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models.
o Integrate machine learning models into production environments, ensuring seamless integration with other systems.
• Full-Stack Engineering:
o Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end).
o Collaborate with software engineers to build scalable and efficient deployment pipelines.
• Collaboration & Reporting:
o Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions.
o Document workflows, model design processes, and technical specifications.
Key Qualifications:
• Technical Skills:
o Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
o Expertise in model training, evaluation, and deployment.
o Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.
o Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
o Solid understanding of data structures, algorithms, and system design.
• Experience & Background:
o Extensive experience in machine learning model development, including natural language processing (NLP).
o Experience with model evaluation, optimization, and performance monitoring.
o Proven experience in software engineering with strong coding skills.
o Experience working in a government or defense-related environment is highly preferred.
• Additional Skills:
o Experience with model versioning and management using tools such as MLFlow or Git.
o Familiarity with containerization tools (i.e. Kubernetes).
o Strong problem-solving and analytical skills.
o Excellent communication and collaboration abilities.
Nice to Have:
• Experience with secure data handling and compliance requirements
• Experience working with Large Language Models (LLMs)
