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Specialized generative AI skills reduce applicants, but Pune metro and mid-senior title keep competition medium.
Deep ML/LLM, MLOps, and vector DB expertise required, so cross-industry transferability is limited and sensitive.
Explicit 6–8 years plus mandatory LLM, cloud, MLOps, and leadership expectations make shortlisting strict.
Lead design, development, and deployment of AI/ML and Generative AI solutions including scalable AI platforms.
Architect AI solutions ensuring performance, reliability, security, and scalability in production environments.
Mentor AI/ML engineers and collaborate with business and technical teams to translate requirements into AI-driven solutions.
6-8 years of experience in Software Development, AI, or Machine Learning.
Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn.
Hands-on experience with Generative AI, LLMs, Azure AI, AWS AI/ML, or Google Cloud AI services.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
Experienced in leading AI/ML technical teams or projects with a focus on solution architecture and mentorship.
Strong technical expertise with generative AI, LLM-based applications, MLOps, and cloud-based AI services.
Capable of driving technical discussions, code reviews, and collaborating effectively with business stakeholders.