Senior ML Engineer - ETL & Transformers, Python

Erias Ventures, LLC; Maryland; On-site; USD 232,000 - 255,000; Full time

Benefits offered by this job

Above Market Hourly Pay

11% Roth or Traditional 401k with vest

Spot Bonuses for BD and Growth

Professional Development Bonuses

Medical Coverage

Vision and Dental Coverage

Long Term Disability

Short Term Disability

Group Life Insurance

Wellness Reimbursement

Paid Time Off

Flexible Work Schedules

Birthday Off

Amazon Prime Membership

Internet Reimbursement

Technology and Productivity Allowance

Morale Building Events

Onboarding Swag

Company Paid Professional Development

Job summary

Erias Ventures in Annapolis Junction, MD seeks a Sr. Software Engineer focused on ML/ETL and transformer models to design and implement data flows for ML capabilities. This role requires deep experience with modern ML libraries and production-grade pipelines.

The candidate will develop and deploy ML/AI models, work with PyTorch, and ensure robust ETL processes and data lake architectures within a security-conscious environment. Eligibility for top clearance is required.

Qualifications

• Twenty years of SWE experience in programs and contracts of similar scope, type, and complexity.
• Bachelor’s degree in Computer Science or related discipline from an accredited college or university.
• Four additional years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.

Responsibilities

• Support the development of complex data flows for machine learning capabilities.
• Integrate and train transformer models and deploy ML solutions.

Skills

Hugging Face transformers

ETL workflows

ML model deployment

PyTorch

SQL

Information retrieval evaluation

SLURM

Education

Bachelor’s degree in Computer Science or related discipline

Tools

Docker

Kubernetes

SLURM

Job description

Erias Ventures in Annapolis Junction, MD seeks a Sr. Software Engineer focused on ML/ETL and transformer models to design and implement data flows for ML capabilities. This role requires deep experience with modern ML libraries and production-grade pipelines.

The candidate will develop and deploy ML/AI models, work with PyTorch, and ensure robust ETL processes and data lake architectures within a security-conscious environment. Eligibility for top clearance is required.