Job :

Lead Engineer

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: 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.