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. Two (2) years 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

• 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% Roth or Traditional 401k with Immediate Vesting and Deposit
• Spot Bonuses for Assisting with Business Development and Company Growth
• Professional Development Bonuses for Certificates and Degrees

Health Benefits:

• Company subsidized Medical Coverage
• 100% Company Paid Vision and Dental Coverage
• 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
• Monthly Wellness Reimbursement

Happiness Benefits:

• Paid Time Off with Flexible Work Schedules and Birthday Off
• Amazon Prime Membership and Monthly Internet Reimbursement
• Technology and Productivity Allowance for Equipment and Supplies
• Morale Building and Company Events to Celebrate our Successes and Build our Community
• Onboarding and Annual Swag
• Company Paid Professional Development and Training

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.
 
Referrals & Inquiries
Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire.

Not seeing the right position right now? Reach out to us, and we’ll notify you as new contracts and opportunities become available!
 
Please send referrals and inquiries to:
jobs@eriasventures.com
 
To learn more about our company visit our webpage or LinkedIn.