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Mid-level ML manager in a metro location with general GenAI demand creates moderate applicant competition.
Role requires specialized ML/GenAI skills and leadership, making cross-industry transfers limited and domain-sensitive.
Explicit years, mandatory ML/GenAI experience, specific tech stack and leadership experience create strict filters.
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Design and develop machine learning models and algorithms using AI, NLP, NLU, LLM, and Generative AI technologies to address complex business problems.
Manage and mentor a team of AI and Machine Learning Engineers ensuring timely delivery of scalable, high-quality AI-based products.
Evaluate and integrate new AI technologies and tools to improve product performance and efficiency while collaborating with cross-functional teams to meet business requirements.
4 to 6 years of experience in machine learning and artificial intelligence with hands-on experience building and deploying AI-based products.
Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
Proficiency in Python, FastAPI, Object-Oriented Programming, Generative AI Prompting, containerization (docker), and Jenkins.
Experience leading and managing a team of AI and Machine Learning Engineers.
Strong technical leadership experience managing AI/ML engineering teams with end-to-end product delivery responsibility.
Hands-on expertise with advanced AI technologies including NLP, NLU, LLM, Generative AI, and relevant infrastructure tools such as AWS services, Docker, and CI/CD pipelines.
Experience working in agile environments and collaborating cross-functionally to translate business problems into scalable AI solutions.