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About the role
Job Description -
Profile:
Senior ML Lead
Experience Required:
10+ Years
Work Mode:
Remote
Key Responsibilities:
- Design end-to-end AI/ML architectures including data ingestion, model development, training, deployment, and monitoring
- Evaluate and select appropriate ML algorithms, frameworks, and cloud platforms (Azure, Snowflake)
- Guide teams in model operationalization (MLOps), versioning, and retraining pipelines
- Ensure AI/ML solutions align with business goals, performance, and compliance requirements
- Collaborate with cross-functional teams on data strategy, governance, and AI adoption roadmap
Required Skills:
- Strong expertise in ML algorithms, Linear Regression, and modeling fundamentals
- Proficiency in Python with ML libraries and frameworks
- MLOps: CI/CD/CT pipelines for ML deployment with Azure
- Experience with OpenAI/Generative AI solutions
- Cloud-native services: Azure ML, Snowflake
- 8+ years in data science with at least 2 years in solution architecture role
- Experience with large-scale model deployment and performance tuning
Good-to-Have:
- Strong background in Computer Science or Data Science
- Azure certifications
- Experience in data governance and compliance
Skills required
snowflakepythonopenaiazureci/cd