Senior Tech Lead Software Engineering

Key Responsibilities

• Develop and maintain AI/ML solutions using Python and relevant ML frameworks
• Build and manage data pipelines using Airflow and Snowflake/Snowpark
• Perform data processing transformation validation and analysis using SQL
• Develop scripts and automation using CLI/Bash
• Deploy and support ML workloads using Azure ML
• Manage source code using Git and follow software development best practices
• Support model deployment monitoring and operationalization
• Collaborate with data scientists testers and business teams to deliver ML use cases
• Support MLOps CI/CD and containerization activities were required. Provide regular updates on testing progress risks issues and defect status
• Ensure alignment with Agile practices and development standards

Person Specifications

• Bachelorʼs degree in Computer Science Information Technology or related field
• Minimum 6 years of experience in Machine Learning Software Development
• Hands-on experience developing and deploying AI/ML solutions in enterprise environments
• Experience working in Agile/Scrum development teams
• Strong understanding of software development lifecycle (SDLC) testing methodologies and release management practices
• Strong stakeholder management and collaboration skills with the ability to work effectively with developers ML engineers data engineers and business teams
• Strong analytical and problem-solving skills with keen attention to detail
• Ability to perform root cause analysis and identify quality risks proactively
• Strong technical expertise in Python SQL Airflow Snowflake/Snowpark CLI/Bash AI/ML frameworks Git and Azure ML.
• Exposure to Docker Kubernetes MLflow MLOps and CI/CD practices is an added advantage.

Vendor submissions - 12 months