AI​/ML Engineer; Language Models​/NLP; Annapolis Junction, MD

Overview

Active TS/SCI w/Polygraph REQUIRED Please do not apply if you do not currently possess this level of clearance.

Telework:
None

• 2 years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
• B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required.
• 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.

• Seeking an AI/ML Engineer, responsible for building, training, fine-tuning, and evaluating advanced language models.
• The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development.
• This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions.

• Knowledge and experience of Language models is required
  • 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

• Build, train, and fine-tune machine learning models, particularly language models
• Apply best practices in model training, tuning, and optimization.
• Design and implement solutions for model performance improvement.

• Conduct rigorous model evaluation, including performance analysis and benchmarking.
• Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.

• Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models.
• Integrate machine learning models into production environments, ensuring seamless integration with other systems.

• Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end).
• Collaborate with software engineers to build scalable and efficient deployment pipelines.

• Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions.
• Document workflows, model design processes, and technical specifications.

• Strong proficiency in AI/ML frameworks such as Tensor Flow, PyTorch, or Hugging Face.
• Expertise in model training, evaluation, and deployment.
• Hands-on experience with AWS tools like Sage Maker, Lambda, EC2, and S3.
• Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
• Solid understanding of data structures, algorithms, and system design.

• Extensive experience in machine learning model development, including natural language processing (NLP).
• Experience with model evaluation, optimization, and performance monitoring.
• Proven experience in software engineering with strong coding skills.
• Experience working in a government or defense-related environment is highly preferred.

• Experience with model versioning and management using tools such as MLFlow or Git.
• Familiarity with containerization tools (i.e. Kubernetes).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

• Experience with secure data handling and compliance requirements
• Experience working with Large Language Models (LLMs)

Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents – available day 1, 8% 401(k) employer match – immediate vesting.

Disclaimer:
The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.

Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

This is a full time position

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