Lead Operations Research Engineer - LP, MIP, heuristics, Python, Gurobi, CPLEX

Blue Yonder; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Blue Yonder is seeking a skilled Lead Software Engineer to design and develop optimization solutions leveraging Operations Research (OR) techniques. This role demands expertise in Python, AI integration, and data engineering.

The candidate will lead projects, mentor team members, and ensure high-performance architectures for scalable backend systems. The position requires a strong foundation in optimization techniques and data processing tools.

Join our team and help drive innovation in AI-driven decision-making!

Qualifications

• 7+ years of experience in Operations Research with strong Python skills.
• Hands-on experience with OR tools like Gurobi, CPLEX, or OR-Tools.
• Strong system design knowledge and distributed systems concepts.

Responsibilities

• Lead design and development of optimization systems using OR techniques.
• Build scalable backend systems for data processing.
• Integrate AI/ML models into decision systems for analytics.

Skills

Operations Research expertise

Python programming

Optimization techniques

Data engineering

AI/ML integration

Problem-solving skills

Tools

Gurobi

CPLEX

Snowflake

MongoDB

Job description

We are looking for a highly skilled Lead Software Engineer with expertise in Operations Research (OR) to design and build scalable optimization solutions. This role combines strong engineering fundamentals with advanced analytical modeling to solve complex business problems using optimization techniques, data engineering, and AI-driven approaches.

What You'll Do

• Lead the design and development of optimization and decisioning systems using OR techniques (LP, MIP, heuristics, metaheuristics).
• Build scalable backend systems using Python for high-performance data processing and solver integrations.
• Develop and manage data pipelines leveraging Snowflake and other modern data platforms.
• Design and optimize data models using MongoDB and/or other NoSQL databases.
• Integrate AI/ML models into decision systems for predictive and prescriptive analytics.
• Drive architecture decisions ensuring performance, scalability, and reliability.
• Collaborate with product managers, data scientists, and stakeholders to translate business problems into mathematical models.
• Mentor engineers and enforce best practices in coding, testing, and system design.
• Improve solver performance and efficiency for large-scale workloads.
• Own end-to-end delivery including design, development, testing, deployment, and monitoring.

What We Are Looking For

• 7+ years of total experience in OR with strong experience in Python development (data structures, concurrency, performance tuning).
• Solid background in Operations Research / Optimization:
  • Linear Programming (LP), Mixed Integer Programming (MIP)
  • Heuristics / Metaheuristics
  • Constraint programming (good to have)
• Hands‑on experience with OR tools like Gurobi / CPLEX / OR-Tools.
• Experience working with Snowflake for data warehousing and analytics.
• Proficiency in MongoDB or other NoSQL databases.
• Experience integrating AI/ML models into production systems.
• Strong system design and distributed systems knowledge.
• Experience with REST APIs, microservices architecture.
• Familiarity with cloud platforms (Azure/AWS/GCP).
• Strong problem‑solving and analytical skills.
• Preferred Qualifications:
• Experience in large‑scale optimization problems (supply chain, logistics, scheduling, resource allocation).
• Exposure to real‑time decision systems / low‑latency architectures.
• Knowledge of data pipelines, ETL, and streaming systems.
• Experience with DevOps practices, CI/CD pipelines.
• Understanding of cost optimization and performance tuning in cloud environments.
• Leadership Expectations:
• Provide technical leadership and architectural guidance.
• Drive innovation in optimization and AI‑based decision systems.
• Mentor team members and build strong engineering practices.
• Collaborate cross‑functionally with business and product teams.
• Nice to Have:
• Exposure to Reinforcement Learning / Advanced AI optimization techniques.
• Experience building domain‑specific optimization engines.
• Publications or work in Operations Research / Applied Optimization.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.