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 4 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
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