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Enterprise - Senior AI​/ML Engineer - TensorFlow, SageMaker, Java Annapolis Junction

Job in Annapolis, Anne Arundel County, Maryland, 21403, USA
Listing for: Erias Ventures, LLC
Full Time position
Listed on 2026-02-15
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Enterprise - Senior AI/ML Engineer - TensorFlow, SageMaker, Java 02-10-2026 Annapolis Junction,[...]

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving
, open communication
, and empowering our employees to make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.

Description

We are 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.

  • 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.
Clearance

A current Top-Secret/SCI with polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Experience

Two (2) years of experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A 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. Three (3) years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.

Required skills:

  • Knowledge and experience of Language models is required.
  • Specific experience with Marian and multi-lingual model development.
  • Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning.
  • Strong Java, C, C++ programming experience.
  • 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.

Desired skills:

  • Knowledge of Computation Linguistics is a plus.
  • Willingness to support occasional on‑call duties is a plus.
  • Experience with secure data handling and compliance requirements.
  • Ex…
Position Requirements
10+ Years work experience
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