Artificial Intelligence AI Machine Learning ML Engineer - Senior R-00049
Artificial Intelligence AI Machine Learning ML Engineer - Senior R-00049
Posted on :
10-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
10-04-2025
Job Description
True Zero Technologies a veteranowned small business was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that said outcomes begin and end with our people and that is what we have built a community of likeminded driven and passionate individuals and innovators who are aligned in a common goal of delivering top tier services to our customers. In 2023 True Zero was recognized as a Best Places to Work in two categories (Prosperous and Thriving $5MM $50MM in gross revenue) and MidAtlantic Region (DC DE MD NC VA WV) and in 2022 was recognized as one of Inc. Magazines Top 5000 Fastest Growing Companies.
True Zero Technologies is looking for qualified candidates to fulfill the role of Senior AI/ML Engineer
Job Description
As a Senior AI/ML Engineer you should possess solid industry experience in the public sector and/or commercial spaces; relevant technical certifications; and proven experience implementing and optimizing AI/ML solutions. You should have experience with both traditional ML algorithms and modern generative AI systems particularly Large Language Models (LLMs). This position requires strong technical communications and problemsolving skills and the ability to engage and interact with numerous teams. The ideal candidate will have a passion for delivering innovative AI solutions the ability to think outside of the box and be attentive to detail. Candidates should possess the following qualifications and be able to demonstrate deep competency in most of the requirements listed below:
Qualifications / Requirements
- Experience: Minimum 5 years in AI/ML engineering conducting model development evaluation and deployment
- Citizenship: U.S. citizenship required; willing to undergo U.S. Government background investigation
- Technical Proficiency: Experience with PyTorch TensorFlow Keras Hugging Face LangChain OpenAI API and cloud platforms
- Data Management: Experience with vector databases (Pinecone Weaviate Qdrant Chroma) and RAG architectures
- GenAI Expertise: Advanced prompt engineering LLM finetuning and handson experience with GenAI tools (GPT DALLE)
- Evaluation: Experience in model evaluation monitoring validation benchmarking and deployment
- Methodologies: Strong understanding of AI frameworks deep learning architectures and supervised/unsupervised learning
- Governance: Familiarity with NIST AI RMF AI Executive Order ethical principles and security best practices
- Communication: Excellent written and verbal skills to convey technical information to diverse audiences
- Testing: Experience with multimodal models retrieval systems agent frameworks and A/B testing
- Education: Bachelors Degree in Computer Science Data Science Engineering or related field preferred
- Possess three or more of the following:
- AWS Certified Machine Learning Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Google Cloud Professional Machine Learning Engineer
- TensorFlow Developer Certificate
- IBM AI Engineering Professional Certificate
- Certified AI Practitioner (CAIP)
- NVIDIA Deep Learning Institute (DLI) Certification
- Certified AI Ethics and Governance Professional (CAEGP)
Responsibilities
- Model Development: Implement optimize and finetune GenAI and traditional ML algorithms to meet performance standards
- RAG Expertise: Design develop and implement RAG systems for unstructured data analysis
- Technical Leadership: Lead AI/ML projects with focus on GenAI/LLM implementations and emerging technologies
- Performance Management: Monitor evaluate and improve model performance; identify optimization opportunities
- Tool Utilization: Leverage common AI/ML tools (AWS Bedrock TensorFlow PyTorch) and custom frameworks for specialized applications
- Governance & Risk: Assess model risks biases and vulnerabilities according to responsible AI guidelines and regulatory requirements
- Integration: Work with crossfunctional teams to integrate AI/ML solutions into broader systems
- Reporting: Deliver technical reports on model performance and actionable recommendations
- Client Collaboration: Engage with clients and stakeholders throughout project lifecycle
- Team Development: Coach mentor junior AI/ML team members; provide professional development
- MLOps: Implement practices to automate model deployment monitoring and lifecycle management
- Security & Privacy: Ensure solutions comply with 2025 regulatory standards and security requirements
Were actively searching for talented security and technology practitioners who are ready to experience the True Zero difference. As a True Zero team member youll enjoy:
Competitive salary paid twice per month
Best in class medical coverage
100 of medical premiums covered by True Zero
Company wide new business incentive programs
Contribution Incentives (i.e. white papers blog posts internal webinars etc.
3 weeks of PTO starting 11 Paid Holidays Annually
401k Program with 100 company match on the first 4
Monthly reimbursement of Cell Phone and Home Internet costs
Paternity/Maternity Leave
Investment in training and certifications to broaden and deepen your technical skills
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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