Senior AIML Engineer - Optimization - Remote
Description
Is this a pure play technical/techno functional role? - Techno functional role.
Specific contribution expected from the role:
Lead end-to-end data science and optimization solutions for supply chain planning by applying AI/ML, statistical modeling, and operations research to build scalable production models that improve demand alignment, capacity, cost, sourcing, and lead-time decisions. Primary Skills : Machine Learning, Optimization & Operations Research, Python, SQL, Predictive Modeling, Statistical Modeling.
Location: Remote. Shift Timing: Normal(Day Shift)
Drive end-to-end data science and optimization solutions across supply planning, sourcing, manufacturing, capacity, cost, lead time, and demand alignment. Apply statistical modeling, AI/ML, operations research, and linear/non-linear optimization techniques using Python, SQL, Spark, and AWS to solve complex business problems. Build, deploy, monitor, and maintain production-grade predictive and optimization models at enterprise scale, with strong data engineering and software engineering practices. Partner cross-functionally with business and technical teams to translate requirements into scalable analytics products, communicate insights effectively, and drive measurable business outcomes.
Skill Set
Optimization,Operations Research (OR),Python,SQL,Predictive Risk Modelling