Enterprise - Senior AI/ML Engineer - Python, Java, AWS

United States | Oct. 28, 2026

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Company: Erias Ventures

Country: United States

Salary: $175,000 - $195,000

Type: Onsite

Employment: Full Time

Description: 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.

• Select appropriate data sets
• Perform statistical analysis
• Run machine learning algorithms
• Use results to improve models
• Train and retrain systems when needed    
• Experience in working with various ML libraries and packages
• Run standard test and evaluation protocols
• Provide system integration oversight
• Model Development & Training:
  • 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
• Evaluation & Testing:
  • Conduct rigorous model evaluation, including performance analysis and benchmarking
  • Perform error analysis, debugging, and model diagnostics to ensure quality and reliability
• Model Deployment & Integration:
  • 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
• Full-Stack Engineering:
  • 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
• Collaboration & Reporting:
  • 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 TensorFlow, PyTorch, or Hugging Face
• Expertise in model training, evaluation, and deployment
• Hands-on experience with AWS tools like SageMaker, 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-so

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