Erias Ventures
Machine Learning - Artificial Intelligence SME - ML, Innovation
Erias Ventures, Annapolis, Maryland, United States, 21403
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 The AI SME produces high quality, professional, and innovative solutions to complex and technologically- advanced AI problems. The ideal candidate is recognized as an AI expert by peers and customers while working on the forefront of new AI technologies. The AI SME will assist the contractor technical lead and customer in the development and maintenance of the SDK for AI Security & Risk Metrics. The candidate will perform in a leadership function for the AI Security Center to research, develop, build, test, deploy, and document cutting edge tools for robust security testing and monitoring of AI systems for the IC, DOD, NSS owners, and the Defense Industrial Base. Architect and oversee the research and development of AI models Research and develop scoring and weighting algorithms to perform benchmarking and evaluation on available AI models Guide teams in model selection, feature engineering, and performance optimization Implement best practices for MLOps, reproducibility, and responsible AI Ensure scalability, security, and reliability of AI-powered systems Clearance A 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 Fifteen (15) years' experience and a Bachelor's degree in Engineering, Computer Science, or Science, Technology, Engineering, or Mathematics (STEM) or thirteen (13) years' and a Master's degree or ten (10) years' and a PhD.
Required skills:
Proven experience deploying ML models in production environments Deep understanding of ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (AWS, GCP, or Azure) Strong coding skills in Python, Java, or similar languages Trained and fine-tuned large language models (LLMs) on domain-specific datasets, leveraging techniques such as prompt engineering, transfer learning, and reinforcement learning from human feedback (RLHF) to optimize model accuracy, coherence, and performance Experience in NLP, computer vision, reinforcement learning, or generative AI Desired skills:
Background in high-scale consumer or enterprise applications Familiarity with data governance, ethical AI practices, and compliance frameworks Experience automating tests for LLM evaluation scenarios within CI/CD workflows Experience interfacing with cloud APIs and LLMs to enable seamless integration and functionality Experience deploying LLMs using frameworks like Hugging Face, PyTorch, and TensorFlow. Understanding of Hardware Security Models (HSMs) Strong understanding of Cybersecurity
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 $240,000- $265,000.
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
andMonthly
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 .
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 The AI SME produces high quality, professional, and innovative solutions to complex and technologically- advanced AI problems. The ideal candidate is recognized as an AI expert by peers and customers while working on the forefront of new AI technologies. The AI SME will assist the contractor technical lead and customer in the development and maintenance of the SDK for AI Security & Risk Metrics. The candidate will perform in a leadership function for the AI Security Center to research, develop, build, test, deploy, and document cutting edge tools for robust security testing and monitoring of AI systems for the IC, DOD, NSS owners, and the Defense Industrial Base. Architect and oversee the research and development of AI models Research and develop scoring and weighting algorithms to perform benchmarking and evaluation on available AI models Guide teams in model selection, feature engineering, and performance optimization Implement best practices for MLOps, reproducibility, and responsible AI Ensure scalability, security, and reliability of AI-powered systems Clearance A 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 Fifteen (15) years' experience and a Bachelor's degree in Engineering, Computer Science, or Science, Technology, Engineering, or Mathematics (STEM) or thirteen (13) years' and a Master's degree or ten (10) years' and a PhD.
Required skills:
Proven experience deploying ML models in production environments Deep understanding of ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (AWS, GCP, or Azure) Strong coding skills in Python, Java, or similar languages Trained and fine-tuned large language models (LLMs) on domain-specific datasets, leveraging techniques such as prompt engineering, transfer learning, and reinforcement learning from human feedback (RLHF) to optimize model accuracy, coherence, and performance Experience in NLP, computer vision, reinforcement learning, or generative AI Desired skills:
Background in high-scale consumer or enterprise applications Familiarity with data governance, ethical AI practices, and compliance frameworks Experience automating tests for LLM evaluation scenarios within CI/CD workflows Experience interfacing with cloud APIs and LLMs to enable seamless integration and functionality Experience deploying LLMs using frameworks like Hugging Face, PyTorch, and TensorFlow. Understanding of Hardware Security Models (HSMs) Strong understanding of Cybersecurity
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 $240,000- $265,000.
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
andMonthly
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 .