Senior AI / ML Engineer - Simulation
ConfidentialPune4 days ago
Job descriptionCore Python : OOP, data structures, algorithms; writing modular, testable, efficient code Data Manipulation & Numerical Computing : pandas for cleaning / analysis; NumPy for computations Data Ingestion : fetching from REST APIs (requests) and databases (SQL) Discrete-Event Simulation : DES principles; SimPy for modeling states, events, resources (e.g. warehouse flows) Operations Research & Optimization : LP / MIP formulation; Python libraries (OR-Tools, Pyomo, PuLP); familiarity with VRP basics and assignment problems Graph Analytics : NetworkX for building / analyzing network topologies and flows DevOps & Version Control : Git with CI / CD pipelines; Docker containerization API Development : building / deploying REST services with Flask or FastAPI Visualization : creating plots and dashboards using Matplotlib, Seaborn, or Plotly Advanced Routing & Heuristics : VRP variants (time windows, Hours of Service); heuristics / meta-heuristics (Tabu Search, Genetic Algorithms, Branch & Bound, Simulated Annealing) Commercial Solvers : Gurobi or CPLEX and their Python APIs ML-Enhanced Simulations : integrating scikit-learn or TensorFlow / PyTorch models for predictive maintenance or anomaly detection in digital twins Alternative Simulation Paradigms : agent-based modeling, etc. Streaming & IoT : real-time data processing with kafka-python; MQTT (paho-mqtt) for live twin updates Geospatial Processing & Visualization : GeoPandas, Shapely; routing engines / APIs (OSRM, Google Maps, HERE); Folium for maps Interactive Dashboards : Dash or Streamlit 3D Visualization : pyvista or vedo for complex digital-twin renderings
Responsibilities
- Develop and maintain digital twin simulations for warehouse and logistics systems, modeling system states, events, and resource interactions.
- Create and optimize network models to improve flow, resource allocation, and operational performance.
- Collaborate with stakeholders to integrate simulation and optimization solutions into existing workflows.
- Analyze simulation outputs to pinpoint inefficiencies and recommend actionable improvements.
- Write modular, testable, and efficient code to support simulation and optimization projects.
- Document processes, methodologies, and findings for technical and non-technical audiences.
Must-Have Technical Skills
Nice-to-Have Technical Skills
Skills Required
Python, Tensorflow, simulation modeling , Data Analysis, Machine Learning, Deep Learning
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Simulation Engineer • Pune
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