AI Decision Science - Auto & Industrial Consultant-Manager- Senior Manager
Category: Data & AI
Experience:5+ years
Location:Gurugram, PAN India, Bengaluru, Pune, Delhi NCR
Your team
As a leading global professional services company, you are invited to join a vibrant team and explore a diverse range of opportunities in strategy, consulting, digital, technology, and operations. You will be a part of a collaborative environment that combines unmatched experience and specialized skills across 40+ industries. This leading enterprise, at the intersection of business and technology, is dedicated to helping clients enhance performance and create sustainable value for stakeholders.
Your job
- You will develop, deploy, and monitor AI/ML models in production environments and enterprise systems, including predictive analytics, anomaly detection, and process optimization solutions for clients.
- Develop Generative AI models such as GPT, Stable Diffusion, and DALL·E to develop applications for content generation, automated documentation, code synthesis, and intelligent assistants.
- You will design and implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications.
- Design and build Autonomous AI solutions for use cases such as predictive maintenance, supply chain optimization, and robotic process automation (RPA) and will optimize and fine-tune Large Language Models (LLMs) for specific business applications while ensuring responsible, ethical, secure, and explainable AI practices.
- You will work with structured and unstructured data from diverse sources, including IoT sensors, manufacturing logs, customer interactions, and other enterprise data sources.
- Collaborate with cross-functional teams, including engineers, business analysts, data scientists, and domain experts, to align AI solutions with business objectives and client requirements.
Capabilities
- You should have a strong understanding of Generative AI, Large Language Models (LLMs), and their practical enterprise applications.
- You must have hands-on experience in fine-tuning and deploying foundation models, such as OpenAI, Llama, Claude, Gemini, or similar models.
- You should have experience with Vector Databases, such as FAISS, Chroma, Weaviate, or Pinecone, for developing Retrieval-Augmented Generation (RAG) applications.
- You should have knowledge of Autonomous AI Agents, including frameworks and approaches such as AutoGPT, BabyAGI, and multi-agent orchestration frameworks.
- You must have experience working with both SQL and NoSQL databases.
- You should have familiarity with major cloud platforms, including AWS, Azure, or GCP, for AI/ML model deployment and related workloads.
Qualifications
Bachelor/Master degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines