AI Technical Operations Manager
Posted 101ds ago
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Job Description
AI Technical Operations Manager responsible for architecting and deploying AI workflows at Bioptimus. Collaborating with teams and translating operational problems into technical solutions.
Responsibilities:
- Architect, build, and deploy cross-functional agentic AI workflows.
- Partner with business stakeholders to understand operational problems and translate them into technical designs.
- Implement solutions using LLMs, agents, RAG, orchestration, and MLOps best practices.
- Report to the COO and collaborate with Engineering, Operations, and cross-functional teams.
Requirements:
- Education: STEM degree (Computer Science, AI, Data Science, Applied Mathematics, or Engineering); or Dual-degree blending business and ML/data science (e.g., engineering school + management/innovation program)
- 2–5 years in applied ML, AI/data consulting, ML engineering, or MLOps.
- Proficiency in Python and SQL.
- Experience with Docker, AWS, CI/CD, and deploying ML systems.
- Experience building and deploying ML models (supervised learning, unsupervised learning, or light generative AI applications).
- Ability to evaluate and debug ML systems using appropriate metrics (AUC, precision/recall, F1, clustering validity, drift diagnostics).
- Experience delivering ML or automation projects end-to-end, from scoping and modeling to deployment and iteration.
- Familiarity with LLMs, prompting, RAG, orchestration, fine-tuning.
Benefits:
- Competitive salary and equity package
- Flexible work arrangements, including remote options
- Opportunities for professional growth and leadership development
- Shape the future of biology and AI by contributing to groundbreaking work.

















