AI Product Owner

Job Description Roles & Responsibilities AI Strategy & Leadership Define and execute the AI roadmap in alignment with business objectives. Identify high-impact opportunities for AI adoption across multiple business functions. Lead and mentor a multidisciplinary team of data scientists, ML engineers, and analysts. Drive innovation through research, prototyping, and the adoption of emerging technologies. Technical Ownership Architect and deploy scalable AI/ML models and systems in production environments. Oversee the end-to-end model lifecycle: from data collection and exploration to development, deployment, monitoring, and optimization. Implement best practices for MLOps, model governance, versioning, and CI/CD. Ensure data quality, reliability, and availability for all AI initiatives. Cross-Functional Collaboration Partner with business leaders to translate requirements into impactful AI solutions. Work closely with engineering, cloud, and product teams to integrate AI capabilities into products and platforms. Communicate complex technical concepts clearly to non-technical stakeholders. Risk, Compliance & Responsible AI Ensure AI models adhere to standards of fairness, transparency, security, and regulatory compliance. Establish guidelines for ethical and responsible AI usage. Your Skills and Experience Technical Skills Proficiency in Python, R, or similar languages Expertise in machine learning, deep learning, NLP, LLMs, and generative AI Hands-on experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain Cloud platform experience (Azure, AWS, GCP) Familiarity with data engineering pipelines and SQL/NoSQL databases Solid understanding of MLOps tools (e.g., Kubeflow, MLflow, Azure ML) Professional Experience Proven track record of building and deploying production-grade AI systems Experience leading and mentoring technical teams Soft Skills Strong analytical and problem-solving abilities Excellent communication and stakeholder management Ability to lead in fast-paced, agile environments Strategic thinker with a product-oriented mindset Desired Candidate Profile Your Skills and Experience Technical Skills Proficiency in Python, R, or similar languages Expertise in machine learning, deep learning, NLP, LLMs, and generative AI Hands-on experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain Cloud platform experience (Azure, AWS, GCP) Familiarity with data engineering pipelines and SQL/NoSQL databases Solid understanding of MLOps tools (e.g., Kubeflow, MLflow, Azure ML) Professional Experience Proven track record of building and deploying production-grade AI systems Experience leading and mentoring technical teams Soft Skills Strong analytical and problem-solving abilities Excellent communication and stakeholder management Ability to lead in fast-paced, agile environments Strategic thinker with a product-oriented mindset Preferred Qualifications Master s or PhD in Computer Science, AI, Data Science, or related fields Experience with LLM fine-tuning, RAG pipelines, and prompt engineering Publications, patents, or conference contributions in AI/ML Industry-specific AI experience (e.g., BFSI, healthcare, manufacturing) Company Industry Consumer DurablesConsumer Electronics Department / Functional Area Product DevelopmentProduct Management Keywords AI Product Owner Get real-time job updates only on our App