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Mid-level, metro AI role with common title and broad skillset increases applicant competition.
Specialized ML, LLM, and MLOps skills are transferable across industries but require AI expertise.
Explicit years, immediate-joiner requirement, and extensive mandatory ML/MLOps stack increase screening strictness.
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Design, deploy, and optimize AI/ML solutions that enhance real-world product features.
Work with advanced AI technologies including Generative AI, LLMs, Agentic AI, Multi-Agent Systems, and Reinforcement Learning.
Manage AI/ML model deployment and production systems using cloud services (AWS/GCP/Azure), Docker, Kubernetes, and MLOps practices.
3–8 years of relevant experience in AI Engineering and Machine Learning.
Proficiency in Python, Deep Learning frameworks (TensorFlow, PyTorch, JAX), and AI/ML technologies.
Immediate joiners preferred; open to candidates willing to work from Pune (Hinjewadi) hybrid location.
Work mode: Hybrid at Pune; Full-time employment; 1 opening.
Experienced in deploying and scaling AI/ML models in production environments using MLOps and containerization technologies.
Technically proficient with multiple AI/ML frameworks and cloud platforms indicating hands-on development and operational expertise.
Comfortable operating in a hybrid working mode from Pune with readiness to join or work on bench resources immediately.