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

now | Bengaluru

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.

Key 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 o 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

Required Qualifications

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

Strongly Preferred / Key Differentiators

Experience with modern forecasting libraries and platforms:

  • PyTorch Forecasting
  • GluonTS
  • NeuralProphet or similar

Experience with:

  • Scenario-based planning and what-if analysis
  • Decision intelligence or advanced planning systems

Hands-on exposure to:

  • Production scheduling in manufacturing environments
  • Bottleneck analysis and throughput optimization

Experience integrating AI models into ERP- or MES-driven planning workflows 

Familiarity with SAP planning modules or enterprise planning systems

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

What We Offer

Opportunity to build and shape Rosenberger’s Data & AI Competence Center in India

Work on high-impact, real manufacturing problems β€” 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 IndiaCareers@rosenberger.in