Machine Learning Scientist

DP World
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine Learning0Education: bachelorsSkills: ["Communication","Collaboration","Problem-solving"]

Early-career ML Scientist at DP World building production-grade AI systems for operational decision-making. You will prototype with agentic coding tools, develop and evaluate ML models for optimization, planning, routing and resource allocation, and collaborate with ML engineers and domain teams to translate real-world problems into scalable solutions across decision intelligence and GenAI.

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FursaFursa
DP World
DP World
4 months ago

Machine Learning Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Early-career ML Scientist at DP World building production-grade AI systems for operational decision-making. You will prototype with agentic coding tools, develop and evaluate ML models for optimization, planning, routing and resource allocation, and collaborate with ML engineers and domain teams to translate real-world problems into scalable solutions across decision intelligence and GenAI.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Build ML solutions for decision-making problems: planning, sequencing, routing, allocation, and resource utilization.
  • •Prototype fast using agentic coding tools: generate scaffolds, refactor, write tests, iterate on experiments—while maintaining engineering discipline.
  • •Develop and evaluate models in areas like optimization & solvers, deep RL/decision intelligence, and predictive ML.
  • •Design robust evaluation harnesses: offline simulation, counterfactual testing, ablations, and scenario analysis; define KPIs and acceptance thresholds.
  • •Collaborate with ML engineers to support productionization: latency/throughput constraints, monitoring, reproducibility, model versioning, and safe rollout; write clear technical documentation and communicate findings.

Key Requirements

  • •0–5 years experience in applied ML / data science / applied research (internships, thesis work, and strong project portfolios count)
  • •Demonstrated experience using agentic coding assistants in real development (e.g., Claude Code, similar agentic coding environments) to accelerate iteration
  • •Strong Python skills and comfort with ML tooling (PyTorch preferred; TensorFlow ok)
  • •Solid foundations in algorithms, probability/statistics, and experimental design
  • •Ability to translate messy real-world problems into clear formulations and measurable success metrics
Experience:0LogisticsIndustrial operationsAI
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PythonPyTorchOR-ToolsRL librariesSQLDockerGitMLflowClaude Code

Company Brief

DP World
Global ports, terminals and logistics provider offering end-to-end supply‑chain, maritime services, freezones and technology-driven trade solutions across ports, inland terminals, logistics parks and digital platforms.
Industry: Ports & Port Operators
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Decacorn (USD 10B+)
Funding: IPO / Publicly Listed
Headquarters: Dubai, United Arab Emirates
Founded: 2005
Glassdoor
Glassdoor: 3.6
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