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Tier-1 employer plus popular AI role and metro location increase qualified applicant density.
Core ML engineering skills are broadly transferable across industries.
Explicit seniority, mandatory ML frameworks, cloud, MLOps and degree requirements make filters strict.
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Design, develop, and deploy advanced AI/ML models, including NLP, computer vision, and predictive analytics.
Lead end-to-end AI solution development including data preprocessing, model deployment, monitoring, and performance tuning.
Collaborate with cross-functional teams and mentor junior members while ensuring ethical AI practices and compliance.
3 to 5 years of professional experience in AI/ML development.
Bachelor's or Master's degree in Engineering (BE/B.Tech/M.Tech).
Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
Experience with cloud platforms (AWS, Azure, or GCP), SQL, version control (Git), and CI/CD pipelines.
Experienced in building scalable AI models and working with large datasets to solve real-world business problems.
Strong technical leadership skills demonstrated through mentoring and leading AI projects or teams.
Familiarity with MLOps tools, generative AI, large language models, and responsible AI principles.