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Entry-level AI role in Bangalore with broad required skills and many applicants increases competition.
Core AI/ML skills are transferable across industries, though specialized MLOps experience increases domain specificity.
Explicit experience range and multiple mandatory tech/MLOps skills create moderate filtering for candidates.
Develop and enhance AI/GenAI based software products, including design, development, unit and integration testing.
Participate in the entire AI development lifecycle: data collection, preprocessing, model training, evaluation, and deployment.
Work with multiple technologies and databases to ensure rapid, scalable, secure product development.
3 to 6 months experience as an AI Engineer in the software industry.
Proficiency in Python, FastAPI, PyTest, Celery, AI/ML, GenAI, MLOps concepts, object-oriented programming, concurrency, design patterns, and REST APIs.
Familiarity with CI/CD tools such as Terraform and GitHub Actions; frameworks like LangChain, LangGraph; databases like MongoDB, MSSQL, or Postgres.
Bachelor's degree in engineering or equivalent.
Demonstrated initiative by proactively driving projects beyond assigned scope.
Strong troubleshooting skills with logical thinking to identify and resolve root causes.
Experience with mature SDLC practices, Agile methodologies, unit testing, code coverage, security scanning, and source control tools like GitHub/Bitbucket.