Machine Learning-Lead AI and Data Science Engineer II

Job Title: Machine Learning-Lead AI and Data Science Engineer II Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: * Implement large\-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud\-based platforms. * Leverage automation, cognitive and science\-based techniques to manage data, predict scenarios and prescribe actions. * Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As\-a\-Service offerings for continuous insights and improvements. Job Title: Manager Job Summary: We are looking for a Generative AI Team Lead with hands\-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: * Lead and deliver large\-scale AI/Gen AI projects across multiple industries and domains. * Liaison with on\-site and client teams to understand various business problem statements and project requirements. * Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data \& AI professionals to deliver projects from inception to implementation. * Brainstorm, build \& improve AI/Gen AI models developed by the team \& identify scope for model improvements \& best practices. * Assist and participate in pre\-sales, client pursuits and proposals. * Drive a human\-led culture of Inclusion \& Diversity by caring deeply for all team members. \#AI\&DATAROLESAUGUST29 \#AIE2027 Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Work Location: Chennai, Tamil Nadu, India Availability: Full time

Qualifications: * 10\-2 years of experience in Generative AI, Deep Learning, or NLP * Bachelor’s or master’s degree in a quantitative field. * Led a 3–5\-member team on multiple end to end AI/GenAI projects * Excellent communication and client/stakeholder management skills * Must have strong hands\-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras * Hands\-on experience with top LLM models like OpenAI GPT\-3\.5/4, Google Gemini, AWS Bedrock, LLaMA 3\.0, and Mistral, along with RAG and Agentic workflows * Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI * Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components. * Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). * Knowledge of Vector DB, Neo4J/relevant Graph DBs * Familiar with Docker containerization, GIT, etc. * AI/Cloud certification from a premier institute is preferred. Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, NLP, Computer Vision Salary: Not disclosed