Job :Lead EngineerResponsibilities :- 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.- Solid 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. (ref:hirist.tech)

📌 7-Eleven - Lead Engineer - Machine Learning (Bengaluru)
🏢 7-ELEVEN CORPORATE SERVICES INDIA
📍 Bengaluru