Job Description

:
Ellkay is looking for an Senior ML Engineer - MLOps and AI Evaluation to build the shared ML operations and evaluation foundation for ELLKAY's classical ML, LLM, and agent services. The engineer will implement reproducible training/deployment pipelines, versioned models and prompts, benchmark execution, synthetic fixtures, release gates, telemetry, and rollback. The role owns the engineering systems that make quality, reliability, and cost visible throughout the AI lifecycle.

Essential Duties & Responsibilities:

- Implement model, prompt, retrieval-index, and evaluation-dataset versioning with lineage and reproducible release evidence.
- Build CI/CD evaluation gates for mapping, clinical extraction, recommendations, RAG, and agents. Validate automated judges against SME labels.
- Create synthetic healthcare fixtures and benchmarks for malformed data, corrections, missing evidence, rare cases, and permission boundaries.
- Deploy serving pipelines and monitor drift, model quality, latency, failure rates, and unit cost. Support shadow testing, canaries, rollback, and fallback.
- Partner with Security and Data Platform on tenant isolation tests,



PHI-safe telemetry, approved training rights, and model-vendor data handling.
- Optimize inference resources and cost through profiling, batching, caching, and appropriate model sizing. Own reproducible model-training jobs and dependency tracking.
- Partner with Data Platform and product engineers, clinical/data SMEs, DME/QA, and security teams.
- Build reusable services for ELLKAY products and preserve source evidence, approved data-use rights, and tenant isolation.
- Model or agent proposals follow established human approval and platform release workflows.

Additional Information:

ELLKAY is committed to fostering a team-oriented and high-performance work environment that supports innovation, teamwork, and professional growth. Most roles are designed to operate from our office locations to encourage effective collaboration and engagement across teams.
Any alternative work arrangements may be considered at the company’s discretion based on role requirements and business needs.

📌 Senior ML Engineer - MLOps and AI Evaluation (India)
🏢 ELLKAY
📍 India