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Remote role with broad ML/AI requirements but senior, niche skillset reduces applicant competition.
Highly domain-specific ML, CV, agentic AI and Azure experience reduces cross-industry transferability.
Explicit 10+ years, leadership, and specialized Azure/agentic AI tech stack create strict shortlisting filters.
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Lead and define AI/ML strategies to deliver scalable, production-grade models aligned with organizational goals.
Design and deploy advanced ML/DL models including LLMs, GANs, computer vision, and agentic AI systems supporting autonomous task orchestration.
Mentor junior and mid-level data scientists, collaborate with engineering and business teams, and implement MLOps pipelines on Azure for model versioning, retraining, and deployment.
10+ years experience in data science, ML, or AI with at least 3 years in a team or technical leadership role.
Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, Hugging Face, and OpenCV.
Strong Azure cloud experience including deploying models via Azure ML, using Azure Blob/Data Lake, and Azure OpenAI services.
Work Experience Required: 10+ years in relevant fields; Educational degree requirements: Not explicitly mentioned in the JD; Notice period: Not explicitly mentioned in the JD.
Strategic leader capable of aligning AI/ML initiatives with business goals and driving high-impact AI projects to production and scale.
Expertise in cutting-edge AI domains including generative AI, agentic AI frameworks, and deep experience with cloud-native AI on Azure.
Experienced in mentoring teams and advocating best practices in model explainability, fairness, experimentation, and MLOps implementation.