About the Company
Anblicks is committed to driving innovation in the data and AI ecosystem, fostering a collaborative and inclusive culture that empowers our team to lead enterprise-scale transformations.

About the Role
The role involves leading the design and implementation of scalable ML frameworks, optimizing solutions within the Databricks ecosystem, and collaborating with various stakeholders to productionize machine learning use cases.

Responsibilities
ML Leadership & Architecture
Lead the design and implementation of scalable ML frameworks on Databricks
Define and enforce best practices, standards, and governance for ML lifecycle management
Architect end-to-end ML pipelines covering data ingestion, feature engineering, training, deployment, and monitoring
Drive platform standardization for model development and operationalization
Databricks & Platform Engineering
Build and optimize solutions using Databricks ecosystem: MLflow, Unity Catalog, Workflows, Delta Lake, Mosaic AI
Develop high-performance Spark-based pipelines for large-scale data processing




Enable model versioning, experiment tracking, and reproducibility
Ensure scalability, security, and performance of ML platforms
MLOps & DevOps Integration
Implement CI/CD pipelines for ML workflows using GitHub Actions, Jenkins, Terraform, or similar tools
Automate model deployment, monitoring, and retraining pipelines
Work with containerization and orchestration tools like Docker and Kubernetes
Establish observability and monitoring frameworks for ML systems
Advanced AI / GenAI Enablement (Positive to Have)
Support development of LLM-based and GenAI solutions
Build RAG pipelines and integrate LLMs into enterprise workflows
Evaluate and onboard tools like OpenAI, Bedrock, Vertex AI, LangGraph
Stakeholder Collaboration
Collaborate with Data Scientists, Data Engineers, and Product Teams to productionize ML use cases
Translate business requirements into scalable ML solutions
Provide technical leadership, mentorship,

📌 Senior/Lead Machine Learning Engineer (Hyderabad)
🏢 Anblicks
📍 Hyderabad