AI / ML Engineer
Huntsville, Alabama, United States
A USD 155K-231K (estimate) Senior-level Full Time
Tasks
- Build LLM applications and RAG pipelines
- Collaborate on agile planning and estimation
- Defend against adversarial machine learning threats
- Design and develop machine learning models
- Document and present development and assurance evidence
- Ensure supply chain integrity with SBOM
- Generate vector embeddings and integrate vector databases
- Implement AI assurance and evaluation tooling
- Implement secure model and data pipelines
- Optimize and deploy models for production and edge
- Perform robustness testing and red team adversarial testing
- Process and analyze data to improve model accuracy
Perks/Benefits
- 401k profit sharing
- Dental insurance
- Education reimbursement
- Employee referral incentive
- Flexible spending accounts
- Flexible work schedule
- Health insurance
- Internal promotions
- Life insurance
- Paid leave
- Performance bonus
- Rewards for Service Anniversaries
- Vacation sick and holiday leave
- Vision insurance
Skills/Tech-stack
AWS | Adversarial Machine Learning | Azure | Bias and fairness | C++ | CI/CD | Computer Networking | Containerized inference | DAST | Data Structures | Deep learning | Development Lifecycle | Google Cloud | Infrastructure as Code | Java | Language Models | Large Language Models | MLOps | Machine Learning | Model Compression | Model Evaluation | Model traceability | ONNX | Prompt engineering | PyTorch | Python | Quantization | REST APIs | Red team | Red team testing | Retrieval-Augmented Generation | Robustness Testing | SAST | Scikit-learn | Secure Software | Secure Software Development | Secure Software Development Lifecycle | Software Architecture | Software Development Lifecycle | TensorFlow | TensorRT | Vector Databases | Vector embeddings | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | LLM Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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