Lead Data & ML Engineer
Bangalore, Karnataka, India Full-time Retail & E-commerce
Responsibilities:
•
Lead the design, development, and productionization of machine learning and AI-driven products
•
Own ML initiatives from conceptualization through deployment and continuous improvement
•
Develop scalable, reusable, and maintainable ML service components with quality-first principles
•
Build and deploy ML, Deep Learning, Generative AI, and Agentic AI solutions
•
Design and expose ML services using FastAPI and RESTful APIs
•
Collaborate with business stakeholders to translate requirements into technical solutions
•
Ensure robustness, scalability, performance, and maintainability of ML applications
•
Lead and mentor team members, fostering technical growth and best practices
•
Work in an Agile, DevOps-driven environment with distributed teams
•
Quickly learn and adopt new technologies as required to deliver results
Key Skills Required:
Machine Learning & AI
•
3-5 years of experience in Machine Learning and data modeling
•
Strong experience in Machine Learning, Deep Learning, and Large Language Models (LLMs)
•
Hands-on expertise with TensorFlow, PyTorch, and ML libraries
•
Proficiency in Generative AI and Agentic AI, including automation use cases
•
Experience with agentic AI platforms such as Glean and Agent Bricks
•
Experience in developing and productionizing ML applications •
Mentor developers and write clean, well-documented, and testable code.
Data Engineering & Analytics
•
7+ years of experience in statistics and analytics on large-scale datasets
•
Strong SQL and data analysis skills, including SQL DW concepts
•
Experience with Spark ecosystem: PySpark, Databricks, Synapse Notebooks (1+ year hands-on)
•
Proficiency in Azure Data Services:
o
Azure Synapse
o
Azure Data Factory
o
Azure Data Lake
o
Azure security model
•
Experience building pipelines for full and incremental data loads from Azure and on-prem sources
•
Strong knowledge of data management, processing, cleaning, transformation, aggregation, and modeling
•
Working knowledge of Power BI reports and dashboards (AAS / PBI) Systems, Cloud & DevOps
•
Strong programming skills in Python (Java is a plus)
•
Experience with FastAPI, RESTful services, and microservices architecture
•
Proficiency with databases such as MySQL, PostgreSQL, and MongoDB
•
Experience deploying applications using Docker and Kubernetes
•
Experience with streaming and messaging systems: Kafka, Kinesis, RabbitMQ
•
Familiarity with Azure Git and DevOps practices
Leadership & Soft Skills
•
Proven experience leading projects end-to-end
•
Strong mentoring and team leadership experience
•
Excellent written and verbal communication skills
•
Ability to work effectively in distributed teams
•
Strong understanding of data structures and design patterns
•
Exposure to the retail industry is a plus
Education:
•
Bachelor’s degree in computer science or a related field (required)
•
Master’s degree is a plus
•
Lead the design, development, and productionization of machine learning and AI-driven products
•
Own ML initiatives from conceptualization through deployment and continuous improvement
•
Develop scalable, reusable, and maintainable ML service components with quality-first principles
•
Build and deploy ML, Deep Learning, Generative AI, and Agentic AI solutions
•
Design and expose ML services using FastAPI and RESTful APIs
•
Collaborate with business stakeholders to translate requirements into technical solutions
•
Ensure robustness, scalability, performance, and maintainability of ML applications
•
Lead and mentor team members, fostering technical growth and best practices
•
Work in an Agile, DevOps-driven environment with distributed teams
•
Quickly learn and adopt new technologies as required to deliver results
Key Skills Required:
Machine Learning & AI
•
3-5 years of experience in Machine Learning and data modeling
•
Strong experience in Machine Learning, Deep Learning, and Large Language Models (LLMs)
•
Hands-on expertise with TensorFlow, PyTorch, and ML libraries
•
Proficiency in Generative AI and Agentic AI, including automation use cases
•
Experience with agentic AI platforms such as Glean and Agent Bricks
•
Experience in developing and productionizing ML applications •
Mentor developers and write clean, well-documented, and testable code.
Data Engineering & Analytics
•
7+ years of experience in statistics and analytics on large-scale datasets
•
Strong SQL and data analysis skills, including SQL DW concepts
•
Experience with Spark ecosystem: PySpark, Databricks, Synapse Notebooks (1+ year hands-on)
•
Proficiency in Azure Data Services:
o
Azure Synapse
o
Azure Data Factory
o
Azure Data Lake
o
Azure security model
•
Experience building pipelines for full and incremental data loads from Azure and on-prem sources
•
Strong knowledge of data management, processing, cleaning, transformation, aggregation, and modeling
•
Working knowledge of Power BI reports and dashboards (AAS / PBI) Systems, Cloud & DevOps
•
Strong programming skills in Python (Java is a plus)
•
Experience with FastAPI, RESTful services, and microservices architecture
•
Proficiency with databases such as MySQL, PostgreSQL, and MongoDB
•
Experience deploying applications using Docker and Kubernetes
•
Experience with streaming and messaging systems: Kafka, Kinesis, RabbitMQ
•
Familiarity with Azure Git and DevOps practices
Leadership & Soft Skills
•
Proven experience leading projects end-to-end
•
Strong mentoring and team leadership experience
•
Excellent written and verbal communication skills
•
Ability to work effectively in distributed teams
•
Strong understanding of data structures and design patterns
•
Exposure to the retail industry is a plus
Education:
•
Bachelor’s degree in computer science or a related field (required)
•
Master’s degree is a plus