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Mid-level 3–5 years band and metro Pune presence create moderate applicant competition.
Requires specialized ML/AI and MLOps production experience, limiting cross-industry transferability.
Explicit 3–5 year requirement plus mandatory ML, cloud, MLOps, and distributed systems skills.
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Lead design, development, and deployment of scalable AI/ML systems.
Own end-to-end lifecycle of AI models including R&D, production, and monitoring.
Mentor junior engineers and drive technical decisions in AI architecture and algorithms.
3 to 5 years of relevant work experience.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
Advanced Python programming expertise with familiarity in Java or C++.
Hands-on experience with ML frameworks (TensorFlow, PyTorch, Hugging Face) and deploying AI/ML systems on cloud platforms (AWS, GCP, or Azure).
Experienced in leading technical teams and projects within AI/ML domains.
Skilled in building scalable, production-grade AI applications with distributed systems and microservices.
Able to handle full AI model lifecycle and collaborate across data science, engineering, and product teams to align AI solutions with business goals.