Job
Description
You are a highly experienced AI/ML & Generative AI (GenAI) Project Manager responsible for leading cutting-edge AI initiatives. Your role involves managing end-to-end AI/ML and GenAI projects, defining project scope, collaborating with cross-functional teams, overseeing AI/ML model design and implementation, integrating Generative AI technologies, managing project risks and dependencies, tracking project progress, ensuring compliance with AI ethics and standards, providing leadership and mentorship to AI teams, and staying updated with industry trends and best practices. Key Responsibilities: - Lead and manage end-to-end AI/ML and GenAI projects, from inception to deployment. - Define project scope, objectives, deliverables, timelines, and resource requirements. - Collaborate with data scientists, ML engineers, software developers, and business stakeholders. - Oversee the design, development, and implementation of AI/ML models. - Evaluate and integrate Generative AI technologies to enhance business processes and customer experiences. - Manage project risks, dependencies, and issue resolution. - Track project progress using Agile methodologies and tools. - Ensure compliance with AI ethics, security, and data privacy standards. - Provide leadership, mentorship, and guidance to AI teams. - Stay updated with industry trends and emerging AI technologies. Required Skills & Qualifications: - Education: Bachelor's or Masters degree in Computer Science, AI/ML, Data Science, or related field. - Experience: 10+ years in IT with at least 5+ years of AI/ML project management experience. - Strong understanding of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI models. - Hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, OpenAI, LangChain, LLMs, and cloud AI services. - Proficiency in Python, SQL, and data engineering concepts. - Expertise in Agile methodologies, SDLC, and DevOps for AI/ML deployments (MLOps). - Excellent leadership, communication, and stakeholder management skills. - Strong problem-solving and analytical thinking abilities. - Knowledge of cloud platforms like AWS, Azure, or GCP for AI/ML workloads. - AI ethics, governance, and responsible AI implementation experience is a plus. Preferred Certifications: - PMP / PRINCE2 / Agile Scrum Master - AI/ML certifications from AWS, Google, or Microsoft - Data Science or AI/ML specializations from reputed institutions You are a highly experienced AI/ML & Generative AI (GenAI) Project Manager responsible for leading cutting-edge AI initiatives. Your role involves managing end-to-end AI/ML and GenAI projects, defining project scope, collaborating with cross-functional teams, overseeing AI/ML model design and implementation, integrating Generative AI technologies, managing project risks and dependencies, tracking project progress, ensuring compliance with AI ethics and standards, providing leadership and mentorship to AI teams, and staying updated with industry trends and best practices. Key Responsibilities: - Lead and manage end-to-end AI/ML and GenAI projects, from inception to deployment. - Define project scope, objectives, deliverables, timelines, and resource requirements. - Collaborate with data scientists, ML engineers, software developers, and business stakeholders. - Oversee the design, development, and implementation of AI/ML models. - Evaluate and integrate Generative AI technologies to enhance business processes and customer experiences. - Manage project risks, dependencies, and issue resolution. - Track project progress using Agile methodologies and tools. - Ensure compliance with AI ethics, security, and data privacy standards. - Provide leadership, mentorship, and guidance to AI teams. - Stay updated with industry trends and emerging AI technologies. Required Skills & Qualifications: - Education: Bachelor's or Masters degree in Computer Science, AI/ML, Data Science, or related field. - Experience: 10+ years in IT with at least 5+ years of AI/ML project management experience. - Strong understanding of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI models. - Hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, OpenAI, LangChain, LLMs, and cloud AI services. - Proficiency in Python, SQL, and data engineering concepts. - Expertise in Agile methodologies, SDLC, and DevOps for AI/ML deployments (MLOps). - Excellent leadership, communication, and stakeholder management skills. - Strong problem-solving and analytical thinking abilities. - Knowledge of cloud platforms like AWS, Azure, or GCP for AI/ML workloads. - AI ethics, governance, and responsible AI implementation experience is a plus. Preferred Certifications: - PMP / PRINCE2 / Agile Scrum Master - AI/ML certifications from AWS, Google, or Microsoft - Data Science or AI/ML specializations from reputed institutions
