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Tier-1 brand, common senior software title, and Pune metro location increase competition.
Medium because production ML and Java backend skills transfer across industries but require specialized AI operational experience.
High due to mandatory Python, AI-framework expertise, strong Java requirements, and production ML lifecycle expectations.
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Build and own Java services/APIs delivering AI-powered features with performance and maintainability in a distributed environment.
Develop, productionise, and operate AI components in Python including model workflows for training, tuning, and inference.
Manage full delivery lifecycle including design, development, testing, deployment, documentation, and automation of AI-enabled software services.
Proven hands-on Python engineering for AI workloads including production code, testing, and operationalisation.
Hands-on experience with AI frameworks such as PyTorch, TensorFlow, or Hugging Face.
Strong Java software engineering skills with experience in scalable, reliable solutions and testing disciplines.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in production AI/ML lifecycle with model deployment, automation, and performance monitoring.
Capable of troubleshooting complex AI and service issues with strong problem-solving and root cause analysis skills.
Skilled in cross-functional collaboration and technical communication across global teams.