Data Science and ML Manager

You will be part of a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni with extensive experience in McKinsey, IBM, Google and other renowned companies. The company is backed by marquee VC funds like Accel, Venture Highway, and 25+ illustrious angels including 14 unicorn founders. Your role will involve designing, developing, and deploying machine learning and Generative AI models for real-world business problems. You will also be responsible for building and optimizing production scheduling and planning models considering capacity, demand, constraints, and cost. Key Responsibilities:

• Develop scalable ML pipelines and deploy models into production environments
• Collaborate with operations, supply chain, and engineering teams to translate business problems into data solutions
• Monitor model performance, retrain models, and ensure robustness in production

Qualifications Required:

• 3-4 years of experience with a B.Tech in Computer Science from a Tier-I college

• Hands-on experience with Generative AI / LLMs (prompt engineering, fine-tuning, RAG, agents)

• Expertise in Machine Learning & ML Engineering (model building, validation, deployment)

• Solid experience in optimization & operations research

• Experience with production scheduling, planning, or supply chain optimization If you join us, you will have the opportunity to shape the future of manufacturing by leveraging best-in-class AI and software. Additionally, you will experience a world-class work culture, coaching, and development. Mentoring will be provided by highly experienced leadership from world-class companies. Work location will be in NOIDA, Sector-16 (Work from Office). You will be part of a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni with extensive experience in McKinsey, IBM, Google and other renowned companies. The company is backed by marquee VC funds like Accel, Venture Highway, and 25+ illustrious angels including 14 unicorn founders. Your role will involve designing, developing, and deploying machine learning and Generative AI models for real-world business problems. You will also be responsible for building and optimizing production scheduling and planning models considering capacity, demand, constraints, and cost. Key Responsibilities: