Technical Delivery Manager (AI/ML With FastAPI)

Role Overview: You will be the AI/ML & Generative AI (GenAI) Project Manager responsible for leading cutting-edge AI initiatives. Your role will involve defining project scope, managing end-to-end projects, collaborating with cross-functional teams, overseeing AI/ML model development, and integrating Generative AI technologies. Key Responsibilities: - Lead and manage end-to-end AI/ML and GenAI projects, ensuring successful 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 following best practices. - Evaluate and integrate Generative AI technologies to enhance business processes and customer experiences. - Manage project risks, dependencies, and issue resolution for timely delivery. - Track project progress using Agile methodologies and tools like Jira, Asana, or Trello. - Ensure compliance with AI ethics, security, and data privacy standards. - Provide leadership, mentorship, and guidance to AI teams for fostering innovation. - Stay updated with industry trends, emerging AI technologies, and best practices. Qualification Required: - Bachelor's or Masters degree in Computer Science, AI/ML, Data Science, or related field. - 10+ years of IT experience with at least 5+ years in AI/ML project management. - Strong understanding of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI models. - Hands-on experience in AI/ML frameworks like 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. (Note: Preferred Certifications are not included in the Qualification Required section as they are optional.),