Enterprise Senior AIML Engineer Python, Java, AWS

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We valuecreative problem-solvingopen 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.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 bachelors 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 expected salary range for this position depending on education and years of experience is $175000 - $195000.

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 DisabilityShort Term Disability andGroup Life Insurance
• MonthlyWellness Reimbursement

Happiness Benefits:

• Paid Time OffwithFlexible WorkSchedules andBirthday Off
• Amazon Prime MembershipandMonthlyInternetReimbursement
• TechnologyandProductivity Allowancefor Equipment and Supplies
• Morale BuildingandCompany Eventsto 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.

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$10000for each successful hire.

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