Erias Ventures
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.
We are seeking engineers who wish to grow their careers and want to become part of a strong, entrepreneurial-minded, and technical company focused on bringing innovative solutions to the difficult mission problems facing our customers.
Description
The Data Scientist shall develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.
Requirements
A current Top-Secret/SCI with FS polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
Required technical skills:
- Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
- Demonstrated professional or academic experience developing models and ensembles in the AI/ML space, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
- Demonstrated professional or academic experience using Python or R.
- Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
- Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
- Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
- Demonstrated experience leveraging GPUs for accelerated computing.
Desired technical skills:
- Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
- Demonstrated experience with cloud computing development and architecture.
- Demonstrated experience with front-end web development frameworks such as Flask.
- Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models.
- Demonstrated experience developing applications for semantic search.
- Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.
- Demonstrated academic or professional experience communicating methodological choices and model results.
- Demonstrated experience with verification and validation test benches.
- Demonstrated experience with Explainable AI (XAI) techniques.
- Demonstrated experience with ONNX (Open Neural Net Exchange).
Benefits
Erias Ventures provides employees with a complete benefits package that includes:
- Above Market Hourly Pay that includes Paid Time Off, Birthday Off, Flexible Work Schedules
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- 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 Internet and Wellness Reimbursement
- Company Paid Professional Development and Training
- Technology and Productivity Allowance for Equipment and Supplies
- Bonuses for Assisting with Business Development and Company Growth
- Morale Building and Company Events to Celebrate our Successes and Build our Community
Referrals
Know a cleared professional looking for more in their career? Want some extra money for the Summer? If so, drop us a line with their name and contact information and you could be eligible for a referral bonus up to $10,000 for each successful hire.
Not seeing the right position? Drop us a line to be notified as we add new contracts and opportunities!
Please send referrals and inquiries to:
****@eriasventures.com
To learn more about our company visit our webpage or LinkedIn.