Business Optimization & AI Model Specialist

Location: Bangalore, KA, India

Time Type: Full time

Job Description

What success looks like in this role:

AI-Driven & Hybrid Optimization Techniques

• Design and develop hybrid AI–optimisation techniques that fuse machine learning, metaheuristics, and exact solvers to deliver efficient, scalable AI solutions.
• Apply optimisation methods to improve the efficiency of AI itself, including hyperparameter optimisation, neural architecture search, and model compression techniques such as pruning and quantisation.
• Leverage AI/ML models (including large language models and neural combinatorial optimisation approaches) to accelerate model formulation, warm-start solvers, and automate solution-space exploration.
• Build data-driven pipelines that integrate predictive ML models with prescriptive optimisation engines to enable end-to-end intelligent decision-making.
• Evaluate trade-offs between accuracy, computational cost, and energy efficiency to ensure AI-enhanced optimisation solutions are sustainable and production-ready.

Integration of Hybrid Advanced Metaheuristic, AI and HPC

• Collaborate closely with our Quantum, AI, and HPC R&D teams to identify high-value combinatorial problems where quantum computing and AI acceleration can offer a computational advantage.
• Develop proof-of-concept (PoC) studies that compare classical optimisation techniques with quantum/hybrid and AI-augmented approaches.
• Work with software developer solution engineers to integrate HPC-powered and GPU-accelerated AI solvers for large-scale combinatorial optimisation problems.
• Support the deployment and monitoring of AI-enhanced optimisation models in production environments, applying MLOps best practices for reproducibility, versioning, and performance tracking.

Industry Applications & NextGen Advisory

• Develop AI-powered decision support systems and prescriptive analytics solutions for clients in finance, logistics, cybersecurity, and smart infrastructure.
• Advise clients on adopting hybrid AI–optimisation strategies, including responsible and efficient use of AI in enterprise decision-making.
• Provide leadership and contribute to white papers, patents, and publications on innovative quantum, AI, and hybrid optimisation methodologies.

You will be successful in this role if you have:

Applies the principles of secure software engineering to the design, development, maintenance, testing and evaluation of software and cloud infrastructure. Works cross-functionally to understand business requirements, architecture and technology direction, evaluate alternative approaches and ensure software and systems are designed accordingly. Incorporates state-of-the-art concepts and practices — including artificial intelligence and machine learning — to facilitate system functionality, scalability, resilience and security as well as ease-of-use. Applies agile principles to software development with a focus on delivery of business value, collaboration, continuous improvement and sustainability.

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