Roles and Responsibilities

• Develop ML models from scratch through to deployment and automation.
• Write and maintain scalable Python scripts for data processing and automation.
• Design and build API integrations with internal and external systems.
• Work with relational databases (PostgreSQL, MySQL, Oracle, Snowflake); write complex SQL queries.
• Utilize cloud services (AWS, Azure, GCP – e.g., Lambda, S3, Azure Functions, BigQuery).
• Implement automated workflows using Power Automate and scripting tools.
• Ensure data quality and collaborate on data management initiatives (Informatica is a plus).
• Participate in code reviews, technical design, and SDLC processes.
• Create and maintain system-level documentation.

Required Qualifications

• Proven experience with ML model development and automation
• Expert in Python scripting; proficient in SQL
• Hands-on with cloud platforms and automation frameworks
• Experience with relational databases and API integrations
• Knowledge of data quality tools; Informatica is a plus
• Proficiency in Python or R for data modeling
• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.

Preferred Skills

• Scalable API integration experience
• Exposure to MLOps tools, Docker/Kubernetes
• Web application infrastructure support

Posted By