Enterprise - Senior AI/ML Engineer - Python, Java, AWS 10/27/2026 Annapolis Junction, MD MD - FAS

Erias Ventures, LLC; Annapolis (MD); On-site; USD 175,000 - 195,000; Full time

Benefits offered by this job

Above Market Hourly Pay

11% Roth or Traditional 401k with vest

Spot Bonuses

Professional Development Bonuses

Medical Coverage (Company Paid)

Vision/Dental Coverage (Company Paid)

Paid Time Off & Flexible Schedules

Amazon Prime Membership & Internet Ré

Hardware/Equipment Allowance

Job summary

Erias Ventures, LLC is seeking an AI/ML Engineer to build, train, and deploy advanced language models with an emphasis on NLP and full-stack integration. The role spans the model development lifecycle, collaborating with cross-functional teams to deliver high-impact solutions.

The ideal candidate will have hands-on ML experience, familiarity with SageMaker and cloud tools, and a track record of delivering production ready AI systems in a security-conscious environment.

Qualifications

• Experience with language models and NLP
• Proficiency in ML libraries and cloud tools
• Strong software engineering and full-stack development skills
• Security-clearance or experience in government/defense a plus
• Hands-on model training, evaluation, and deployment expertise
• Experience with AWS tools (SageMaker, Lambda, EC2, S3) and containerization

Responsibilities

• Build, train, and fine-tune language models
• Collaborate with data scientists, product teams, and engineers
• Deploy models on cloud platforms and integrate into production
• Develop and maintain full-stack AI model-based applications
• Perform rigorous model evaluation and benchmarking
• Document workflows and model designs

Skills

Language models

NLP

AWS SageMaker

Python

Education

B.S. in STEM (math/CS)

Tools

TensorFlow

PyTorch

Hugging Face

SageMaker

Kubernetes

MLFlow

Git

Job description

Annapolis Junction, MD

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We valuecreative problem-solving,open communication, andempowering our employeesto 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 atechnicallystrongandgrowth-orientedcompany focused on bringinginnovative solutionsto the difficult mission problems facing our customers.

Description

We are seeking an AI/ML Engineerresponsible 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/SCIwith 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-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
• Experience working with Large Language Models (LLMs)

Benefits

Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $175,000 - $195,000.

Wealth Benefits:

• Above Market Hourly Pay
• 11% RothorTraditional 401kwith Immediate Vesting and Deposit
• Spot Bonusesfor Assisting with Business Development and Company Growth
• Professional Development Bonusesfor Certificates and Degrees

Health Benefits:

• Company subsidizedMedicalCoverage
• 100% Company PaidVisionandDentalCoverage
• 100% Company PaidLong Term Disability,Short Term Disability, andGroup Life Insurance
• MonthlyWellness Reimbursement

Happiness Benefits:

• Paid Time OffwithFlexible WorkSchedules andBirthday Off
• Amazon Prime MembershipandMonthlyInternetReimbursement
• TechnologyandProductivity Allowance for Equipment and Supplies
• Morale BuildingandCompany Events to Celebrate our Successes and Build our Community
• Onboarding and AnnualSwag
• Company Paid Professional DevelopmentandTraining

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.