Technical Delivery Manager (AI/ML With Generative AI)

You are responsible for leading and managing end-to-end AI/ML and GenAI projects, defining project scope, objectives, deliverables, timelines, and resource requirements. You will collaborate with data scientists, ML engineers, software developers, and business stakeholders to ensure successful project execution. Additionally, you will oversee the design, development, and implementation of AI/ML models, ensuring best practices in model training, validation, and deployment. It is also your responsibility to evaluate and integrate Generative AI technologies to enhance business processes and customer experiences, manage project risks, dependencies, and issue resolution, and track project progress using Agile methodologies and tools like Jira, Asana, or Trello. Furthermore, you must ensure compliance with AI ethics, security, and data privacy standards and provide leadership, mentorship, and guidance to AI teams to foster innovation and excellence. Lastly, staying updated with industry trends, emerging AI technologies, and best practices is crucial for this role. Qualifications Required: - Bachelor's or Masters degree in Computer Science, AI/ML, Data Science, or a related field. - 10+ years of experience 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.,