ML Engineer

ID de Puesto

501777

Publicado desde

09-Abr-2026

Ámbito de trabajo

Research & Development

Empresa

Siemens Healthcare Private Limited

Nivel de experiencia

Profesional Senior

Tipo de jornada

Jornada completa

Modalidad de trabajo

Oficina/Solo presencial

Tipo de contrato

Indefinido

Ubicación(es)

Key Responsibilities

- Design, develop, and deploy ML and LLM-powered applications into production

- Build end-to-end ML & GenAI pipelines (data → evaluation → deployment → monitoring)

- Develop agentic systems using LLMs (multi-step reasoning, tool usage, orchestration)

- Implement RAG (Retrieval-Augmented Generation) architectures using vector search

- Integrate LLMs with enterprise systems via APIs, tools, and function calling

- Apply prompt engineering, model selection, and evaluation strategies

- Optimize inference performance (latency, cost, throughput)

- Implement MLOps + LLMOps practices (CI/CD, versioning, governance)

- Monitor production systems for:

- Response quality and hallucination risks

- Data drift and prompt drift

- Cost, latency, and token utilization

- Build dashboards and monitoring solutions for ML/LLM systems (performance, usage, business KPIs)

- Work with Databricks platform for data processing, feature engineering, and pipeline orchestration

- Implement guardrails, safety filters, and responsible AI controls

Key Competencies

- Strong systems thinking: ability to design production-grade AI systems

- Ability to balance experimentation with cost, latency, and reliability constraints

- Critical understanding of LLM limitations (hallucinations, grounding, context limits)

- Ability to translate model outputs into business-facing insights via dashboards

- Effective cross-functional collaboration

Detalles del puesto