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Tier-1 brand, metro location, and broad generalist ML skillset increase applicant competition.
Specialized ML/AI modelling, deployment and MLOps skills produce high industry-specific fit sensitivity.
Explicit senior experience plus mandatory ML, cloud, deployment and MLOps skills make shortlisting strict.
Design, develop, and deploy advanced AI and machine learning models for real-world applications, ensuring scalability and performance.
Lead end-to-end AI solution development including data preprocessing, model deployment, and monitoring.
Collaborate with cross-functional teams to define AI-driven solutions and provide technical leadership and mentorship to junior members.
7-10 years of experience in AI/ML development.
Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Experience with cloud platforms like AWS, Azure, or GCP and deploying models using APIs or MLOps frameworks.
Bachelor of Engineering (BE/B.Tech) degree required.
Strong expertise in machine learning, deep learning, NLP, computer vision, and statistical modeling.
Experience in building scalable AI models and working with large datasets in operational environments.
Demonstrated ability to lead AI projects, collaborate with diverse teams, and ensure ethical AI practices.