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56 Eli Lilly and Company Jobs
Sr Principal Machine Learning Engineer
9-11 years
Bangalore / Bengaluru
1 vacancy
Sr Principal Machine Learning Engineer
Eli Lilly and Company
posted 5hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Ownership of Project/Product Delivery
- Serve as trusted advisor by actively participating in various phases of the projects (including kick-off, methodology development, execution, and continuous improvement)
- Effectively communicate with stakeholders to provide recommendations on approach and present final outcomes
- Build deep expertise on LLM / Gen AI infrastructure and productionization capabilities
Project Management and Leadership
- Set up processes to ensure continuous high-quality delivery by the team, including but not limited to implementing best project management practices
- Support a team of highly talented professionals and implement upskilling plans as required for business need, working in close collaboration with the people leader
- Coach/mentor and develop a pipeline of ML Engineering talent
Strategic Growth and Thought Partnerships
- Strategize on key opportunities and white spaces, drive discussions, and expand outcomes
- Partner with leadership on identification and development of core ML operations capabilities, and influence cross functional partners in adoption
- Interface with cross functional partners across the organization, including data engineering, data analytics, data science, IT, and other groups to adopt efficient working models and deliver on high impact projects
- Network with industry experts and external consultants as needed to develop, test, and implement new approaches and solutions for ML Operations capabilities at LCCI
Required Skills and Expertise:
- 9+ years of relevant experience in an ML Engineering, ML Ops, or Dev Ops space (preference for experience in LLMs and/or Gen AI)
- Persuasive communication and inter-personal skills
- Strong analytical and problem-solving skills to be able to structure and solve open ended business problems (pharma experience is highly preferred)
- Demonstrated expertise in building ML/automation pipelines from scratch (Including model versioning, model and data lineage, monitoring, model hosting and deployment, model optimization, scalability, orchestration, continuous learning, automated pipelines)
- Strong knowledge of Python and PySpark. Working knowledge of R is preferred
- Strong knowledge of working tools like Docker, Kubernetes, Jenkins
- Experience in using popular MLOps frameworks like MLFlow, Kedro etc
- Knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. and ability to understand tools used by data scientist
- Experience with AWS (or other) cloud services: EKS, RDS, Redshift, S3, Athena, Data Lake, Blob storage, Azure etc. is additive advantage
- Experience with data pipeline and workflow management tools: Prefect, Airflow etc.
- Experience developing new components in a scrum/agile environment
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to data scientists, engineering teams and business audiences.
Education
- Bachelor s/ Master s degree in Computer Applications/ Mathematics/ Pharma or a related field from a premium college
Employment Type: Full Time, Permanent
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What people at Eli Lilly and Company are saying
Rating based on 2 Machine Learning Engineer
reviews
Anonymous · Data Science & Analytics
in Bangalore / Bengaluru
Likes
Flexible working hours
- Salary - Good
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Machine Learning Engineer salary at Eli Lilly and Company
reported by
4
employees
with 2-4
years exp.
₹10
L/yr - ₹22.8
L/yr
66%
more
than the average Machine Learning Engineer Salary in India
View more details
What Eli Lilly and Company employees are saying about work life
based on 419 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Eli Lilly and Company Benefits
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