DW
Full time
🤖 AI / ML
Machine Learning Scientist at DP World
Listed by DevShelfHub
Bangalore, Karnataka, India (Embassy Golf Links Business Park)
Hybrid
Mid-level · 0–5 yrs
About the Role
Logistics and supply chain operations increasingly rely on ML for planning, routing, allocation, and resource utilization. DP World is hiring a Machine Learning Scientist in Bangalore to build decision-making ML solutions using optimization, deep RL, and predictive modeling.
What you'll do
- Build ML solutions for decision-making problems: planning, sequencing, routing, allocation, and resource utilization
- Prototype fast using agentic coding tools to generate scaffolds, refactor, write tests, and iterate on experiments
- Develop and evaluate models in optimization (MILP/CP-SAT, heuristics), deep RL (RL baselines, offline RL, bandits, MCTS), and predictive ML
- Design robust evaluation harnesses: offline simulation, counterfactual testing, ablations, and scenario analysis
- Collaborate with ML engineers to support productionization: latency/throughput constraints, monitoring, and safe rollout
- Write clear technical documentation and communicate findings to stakeholders
What we're looking for
- 0-5 years experience in applied ML, data science, or applied research (internships, thesis work, and strong portfolios count)
- Demonstrated experience using agentic coding assistants in real development
- Strong Python skills and comfort with ML tooling (PyTorch preferred; TensorFlow ok)
- Solid foundations in algorithms, probability/statistics, and experimental design
Skills & Technologies
Required
0-5 years experience in applied ML, data science, or applied research (internships, thesis work, and strong portfolios count)
Demonstrated experience using agentic coding assistants in real development
Strong Python skills and comfort with ML tooling (PyTorch preferred; TensorFlow ok)
Solid foundations in algorithms, probability/statistics, and experimental design
Ability to translate real-world problems into clear formulations and measurable success metrics
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers applied ML research with fast prototyping using agentic coding tools and production collaboration.
- Build ML solutions for planning, sequencing, routing, allocation, and resource utilization
- Prototype fast using agentic coding tools while maintaining strong engineering discipline
- Develop models in optimization (MILP/CP-SAT), deep RL, and predictive forecasting
- Design robust evaluation harnesses with offline simulation and counterfactual testing
- Collaborate with ML engineers on productionization including monitoring and model versioning
- Work with PyTorch, OR-Tools, Ray RLlib, and Stable Baselines
- Apply MLOps basics including MLflow, Docker, CI/CD, and model monitoring
- Gain exposure to logistics, supply chain, and industrial operations domains
- Write clear technical documentation for technical and non-technical stakeholders
- Join a global logistics leader applying AI to real-world decision problems
About DP World
DP World is a global logistics company committed to enabling trade and transforming supply chains. The company operates across ports, terminals, logistics, and technology solutions worldwide, applying advanced analytics and machine learning to operational decision-making.
- Industry
- Technology
- Company Size
- 500+
- Website
- dpworld.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 0–5 years
- Location
- Bangalore, Karnataka, India (Embassy Golf Links Business Park)
- Work Mode
- Hybrid
- Category
- AI / ML
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