Senior AI/Machine Learning Engineer

Responsibilities:

• Own ML solutions end to end — framing business problems, exploring data, training models, and deploying to production.
• Apply generative AI and LLMs, selecting appropriate techniques and adapting as the field evolves.
• Establish MLOps best practices: CI/CD for models, experiment tracking, drift monitoring, and responsible-AI.

Qualifications:

• 4+ years building, training, and deploying ML models in production with strong modeling fundamentals.
• Hands-on LLM/generative-AI delivery experience including RAG, embeddings, and fine-tuning.
• Client-facing or consulting experience with ability to explain technical trade-offs to non-technical stakeholders.

Benefits:

• Competitive financial compensation and utilization bonus plans.
• Medical, Dental, Vision Insurance and 401k with 4% matching.
• Paid Time Off, Health Savings Account, and Short-Term/Long-Term Disability Insurance.