Predictive Modeling / Machine Learning Engineer – Forecasting, Optimization & Scheduling (Industrial AI)

About the Position

We are seeking an experienced Predictive Modeling / Machine Learning Engineer specializing in forecasting, optimization, and production scheduling to design and deploy industrial AI solutions that improve planning accuracy, resource utilization, and operational efficiency across Rosenberger’s global manufacturing network.

This role goes beyond analytics and modeling and focuses on building scalable, production-ready decision-support systems that directly impact production planning, supply chain performance, and cost efficiency.

Responsibilities

Forecasting & Planning

• Develop and maintain forecasting models for:
  • Demand and sales forecasting
  • Production volume planning
  • Capacity and workforce planning
• Apply statistical and machine learning methods to improve forecast accuracy across short-, mid-, and long-term horizons
• Design global and multi-series forecasting solutions for complex manufacturing environments
• Quantify uncertainty using probabilistic forecasting and scenario-based approaches

Optimization & Scheduling

• Design and implement optimization and scheduling models for:
  • Short- and mid-term production scheduling
  • Sequencing and constraint-based scheduling
  • Inventory optimization and safety stock modeling
  • Cost, throughput, and process efficiency optimization
• Translate real-world manufacturing constraints into mathematical and algorithmic models, including:
  • Machine availability and bottlenecks
  • Changeover and setup times
  • Labor and shift constraints
  • Material availability and supply constraints
• Integrate ML-based forecasts into optimization and scheduling pipelines
• Develop hybrid decision intelligence solutions, combining:
  • Machine learning and optimization
  • Simulation and optimization
  • Rule-based constraints with learned models

Data & Solution Development

• Analyze and integrate data from:
  • ERP systems (e.g. SAP)
  • MES and production systems
  • Planning and supply chain tools
• Convert complex planning and operational problems into explainable, data-driven AI solutions
• Validate models using historical data and real production scenarios
• Support deployment, scaling, and adoption of solutions across global Rosenberger locations

Collaboration & Communication

• Work closely with:
  • Production planning
  • Supply chain and operations
  • IT and Data Engineering teams
• Communicate model behavior, assumptions, and trade-offs clearly to both technical and nontechnical stakeholders
• Contribute to best practices, standards, and architecture within the Data & AI Competence Center

Requirements

• Bachelor’s or Master’s degree in:
  • Data Science
  • Statistics
  • Mathematics
  • Industrial / Systems Engineering
  • or a related quantitative field
• 5+ years of hands-on experience in forecasting, optimization, scheduling, or applied machine learning
• Strong programming and solution development skills in:
  • Python with production-grade data and ML tooling
• Experience with deep learning frameworks:
  • PyTorch (preferred) or TensorFlow
• Strong expertise in time-series forecasting, including:
  • Deep learning–based forecasting models
  • Multi-series and hierarchical forecasting
  • Intermittent and sparse demand modeling
  • Probabilistic forecasting and uncertainty estimation
• Solid understanding of optimization and decision intelligence, including:
  • Constraint-based optimization and scheduling
  • Integration of ML outputs into optimization workflows
• Hands-on experience with optimization solvers and frameworks, such as:
  • OR-Tools
  • Pyomo
  • Gurobi / CPLEX or similar
• Proven experience deploying forecasting and scheduling models in real operational environments
• Practical knowledge of manufacturing and supply chain planning processes

Nice to Have

• Experience in manufacturing, electronics, or high-mix / low-volume production
• Exposure to:
  • Cloud platforms (e.g. Azure)
  • Data pipelines and analytics platforms
• Familiarity with:
  • MLOps practices
  • Model monitoring and retraining strategies
• Experience with digital twins or simulation-based optimization

We Offer

• Opportunity to build and shape Rosenberger’s Data & AI Competence Center in India
• Work on high-impact, real manufacturing problems - not PoCs only
• Strong collaboration with German HQ and global production sites
• Long-term technical ownership and growth into Lead / Architect roles

Share your updated resumes to [email protected]