Advisor - AI/ML Engg, Lilly USA Commercial Technology
IN: Lilly Bengaluru, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build MLops pipelines
- Build anomaly detection models
- Build autonomous orchestration
- Conduct architecture design reviews
- Create reusable AI frameworks
- Define AI architecture standards
- Define enterprise AI blueprints
- Deploy LLM solutions
- Deploy models
- Design RAG architectures
- Develop HCP engagement models
- Develop customer segmentation models
- Develop multi-agent systems
- Develop sales forecasting models
- Embed AI into commercial workflows
- Ensure model governance checks
- Ensure regulatory compliance
- Ensure responsible AI compliance
- Establish AI governance frameworks
- Evaluate and onboard AI tooling
- Fine-tune models
- Implement automated quality gates
- Implement embedding-based retrieval
- Implement model explainability
- Maintain audit trails
- Mentor engineers in AI ML
- Mitigate model bias
- Monitor model performance
- Perform feature engineering
- Provide observability for ML systems
- Set CI CD standards for ML
- Set up model retraining
- Train and evaluate models
- Translate business needs into AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Databricks | Docker | Drift Detection | Enterprise governance | Feature Engineering | Generative AI | Hugging Face | Kubernetes | Langchain | Language Models | Large Language Models | MLflow | Model Deployment | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | Model Registry | Model Training | Observability | PySpark | Python | RAG | Ray | SQL | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI/ML Engineer | Advisor | Advisor AI | Advisor AI ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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