Machine Learning - Senior Software Engineer - ETL, Transformers, Python

# Machine Learning
- Senior Software Engineer - ETL, Transformers, Python Erias Ventures Full Time senior Annapolis Junction, Maryland, USPosted 2 days ago##

Role Overview Erias Ventures is hiring a Machine Learning
- Senior Software Engineer - ETL, Transformers, Python. This is a full-time role in Annapolis Junction. Part of Erias Ventures's Security hiring, posted 2 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting. Market median for Senior-level Security roles is $139k-$190k (based on 293 comparable listings).

Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoringSQLDocker Kubernetes Py Torch OR Benefits Onboarding Contracts Sign  up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job 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 a Software Engineer with a System Engineer background to support the development of complex data flows for machine learning capabilities.

ClearanceA current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.### Experience Twenty (20) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required. Four additional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.###

Required Skills
* Integrating and training Hugging Face transformer models
* Data science workflows, ETL, and data lakes
* Developing and deploying ML/AI models in real-world applications
* Machine learning libraries such as Py Torch
* Containerization technologies such as Docker and Kubernetes
* Evaluation of information retrieval techniques
* Cluster management such as SLURM
* Database management and SQL### 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 $232,000 - $255,000.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.

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