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Mid-level ML role in metro with 3–5 years and broad ML/MLOps skills, moderate competition.
Core ML/AI and MLOps skills are transferable across industries, so background sensitivity is low.
Explicit 3–5 years plus mandatory ML frameworks, production deployment and MLOps increases selection strictness.
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Design, develop, and deploy machine learning and deep learning models, owning AI project delivery from problem definition to production deployment.
Perform advanced AI research, complex data analysis, and optimize models for scalability and performance in production environments.
Lead implementation of MLOps practices, mentor junior team members, and ensure AI solutions comply with ethical and regulatory standards.
Bachelor's or master's degree in computer science, AI, Data Science, or related field.
3-5 years of experience in AI/ML development and deployment.
Proficiency in Python and ML frameworks such as TensorFlow and PyTorch.
Work Location: Pune, India; Full-time, permanent role; Office-based with potential hybrid options.
Experienced in leading AI projects through full ML lifecycle including production deployment and MLOps.
Strong competence in AI research, data analysis, and applying state-of-the-art AI/ML techniques.
Ability to work independently and lead initiatives, with effective communication to both technical and non-technical stakeholders.