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Mid-level Mumbai AI role with broad GenAI, Python and AWS requirements drives high competition.
ML/GenAI engineering skills are transferable but require specific product and cloud experience, so medium sensitivity.
Explicit 5+ years and mandatory Python, AWS, container and CI/CD skills create high shortlisting strictness.
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Design and implement scalable and maintainable GenAI software solutions using Python and data engineering technologies.
Develop and maintain data scraping and integration pipelines to handle large data volumes.
Collaborate with Technical Architect and cross-functional teams to execute solution architecture, debug production issues, and mentor junior developers.
Minimum 5 years of software development experience.
Advanced proficiency in Python and experience with frameworks like Flask, Django, FastAPI.
Experience with AWS services (EC2, Lambda, EKS, S3, RDS, IAM etc.) and containerization tools like Docker and Kubernetes.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experienced in designing and documenting software architecture with strong knowledge of design patterns and best practices.
Skilled in data scraping tools (BeautifulSoup, Scrapy, Selenium) and data pipeline technologies (Airflow, Kafka, Spark).
Capable of leading technical decisions, debugging complex production issues, and mentoring team members in a fast-evolving GenAI and ML product development setting.