Lead Software Engineer @ Maersk
Lead Sofware Engineer - Simulations(with ML Background) - Global Data Analytics, Technology (Maersk)This position will be based in India – Bangalore/PuneA.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.The BriefWe are seeking a Lead Software Engineer with deep experience in simulation systems and a solid foundation in machine learning to lead the architecture and development of our next-generation simulation and digital twin platforms. This role blends technical leadership with hands-on engineering, guiding the design of simulation systems that model real-world environments and power intelligent, ML-driven decision-making.You’ll be responsible for leading simulation efforts that generate actionable insights, synthetic data, and predictive capabilities — while also influencing how ML models are built, trained, and deployed within these environments.What I'll be doing – your accountabilities/responsibilities?Architect and lead simulation platforms that model complex systems across time, agents, and interactions.Bridge simulation systems with ML workflows: data generation, model training/testing, reinforcement learning, etc.Define system architecture, technology choices, and software patterns for scalable, high-performance simulation and ML integration.Collaborate with ML engineers, data scientists, and domain experts to enable closed-loop simulations for forecasting, optimization, and control.Lead cross-functional engineering efforts across simulation, data, and ML infrastructure teams.Mentor engineers across disciplines, setting technical standards and fostering a high-performance culture.Own end-to-end delivery of simulation-enabled intelligent systems — from ideation to production.Develop and optimize algorithms for discrete-event simulation, agent-based modeling.Support scenario testing, what-if analysis, and optimization workflows…
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