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Strong brand, mid-senior ML role, metro location, and broad skill requirements increase competition.
Role demands specialized ML/AI expertise and tooling, limiting easy cross-industry transferability.
Explicit 6+ years requirement plus mandatory ML, Python, cloud, and container skills increases strictness.
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Lead design, development, and deployment of Machine Learning and Generative AI models to solve complex business problems.
Build and optimize Agentic AI systems focusing on autonomy and decision-making capabilities.
Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems and ensure model performance and compliance.
6+ years of relevant experience in AI/ML with strong Python proficiency and experience using libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
Hands-on experience with Machine Learning, Generative AI, and Agentic AI systems.
Bachelor’s degree or equivalent required; Master’s degree preferred.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
Experienced in developing scalable Python-based AI/ML pipelines involving data preprocessing, model training, and deployment.
Strong background in algorithm design and data structures applied to AI domains like NLP or computer vision.
Capable of managing AI projects in fast-paced, collaborative environments and communicating technical concepts effectively to non-technical stakeholders.