BENGALURU · FULLTIME
Principal Machine Learning Engineer
Eli Lilly and Company
Bengaluru · onsite · Posted 40d ago
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Undisclosed8–11 yrsfulltimeBengaluru
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Section · 01
About this role
Role Overview
Core Responsibilities
Key Tools Technologies
Required Qualifications
Education
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
We are looking for a Principal Machine Learning Engineer to join the AI Engineering team, with a primary focus on Hands-On Engineering (MLE) and MLOps Platform Reliability and GenAI Agentic Systems. This posting is at level R3 on our engineering ladder - see the level framing below for the expected scope of ownership and impact.
Level framing: Recognized technical expert; leads decisions on technical approach for projects; solves complex problems and innovates solutions; drives improvements across multiple projects/teams; may manage budgets.
Core Responsibilities
- Design and build complex ML/AI systems and services, setting the technical approach for your workstream.
- Solve complex, ambiguous technical problems that span multiple components or teams.
- Set code-quality and engineering standards for your area, and lead by example in code review.
- Own the MLOps design for a significant system: CI/CD, orchestration (Kubernetes/Prefect), and production monitoring.
- Lead root-cause analysis for complex production incidents and drive systemic fixes, not just patches.
- Extend the teams MLOps frameworks to support new model types or deployment patterns.
- Lead design of agentic AI systems (e.g. LangGraph-based), including multi-step reasoning and RAG architecture decisions.
- Own LLMOps practices for your area: evaluation pipelines, guardrails, and cost/latency optimization.
- Evaluate and introduce new GenAI tools, frameworks, or techniques where they meaningfully improve the platform.
- Mentor other engineers and help raise technical standards within your workstream.
Key Tools Technologies
- Cloud Data Infra: AWS (EC2/ECS, S3, Lambda, IAM, CloudWatch or equivalent); Databricks Unity Catalog
- Foundational: Python; Git/GitHub; software engineering best practices; testing; SQL
- MLOps Deployment: Docker, Kubernetes, Prefect; CI/CD (GitHub Actions); production monitoring; model versioning lineage; GitOps governance
- GenAI Agentic Architecture: Claude or comparable LLMs; LangGraph or comparable agent frameworks; RAG architectures; vector databases (e.g. Pinecone); prompt engineering evaluation
Required Qualifications
8-11 years of hands-on experience, with a track record of owning significant technical workstreams end-to-end.
- Strong proficiency in Python and a track record of writing clean, testable, production-quality code.
- Demonstrated experience owning CI/CD, containerisation, and orchestration for production ML/AI systems.
- Proven experience developing or deploying LLM-based applications, including prompt engineering, RAG, or agentic workflows.
- Strong working knowledge of containerisation (Docker), orchestration (Kubernetes), and CI/CD pipelines.
- Working knowledge of AWS cloud services and Databricks/Unity Catalog or equivalent enterprise data platforms.
- Excellent verbal and written communication skills.
- Experience working in Agile/Scrum environments.
Education
- Bachelors or Masters degree in Computer Science, Computer Applications, or a related technical field.
for further assistance.
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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
Aws LambdaDockerKubernetesGithubAgileCode ReviewclaudeCI/CD Pipelinesaws iamdata platformsamazon web servicesGitOpsGithub ActionsAWS CloudWatchAWS EC2Cloud DatadeploymentDatabrickscloudCommunication SkillsArchitectureGITArtificial Intelligence
Section · Company
About Eli Lilly and Company
Eli Lilly and Company
Pharma
2.7k+
employees
1993
33 years old
Indianapolis, Indiana
United States (USA)
₹23.4L PA avg
Avg at Eli Lilly and Company
About
Lilly unites caring with discovery to create medicines that make life better for people around the world.
Industries
Pharma
Employee ratings
10 reviews
3.7/ 5
Culture
2.2
Career growth
2.0
Work-life
3.3
Employees rate it well for
Work-Life Balance39Job Security38
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