Lead Data & ML Engineer

Job: Lead Engineer

Location: Bangalore

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

Skills

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

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:
• Azure Synapse
• Azure Data Factory
• Azure Data Lake
• 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