Senior AI/ML Scientist

Senior AI/ML Scientist(IC) – Global Data Analytics, Technology (Maersk)

This position will be based in India – Bangalore/Pune
A.P. Moller - Maersk
A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.
Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
The Brief
In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings.
You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems.
The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement.
You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs.
What I'll be doing – your accountabilities?

• Independently design and develop scalable AI/ML solutions using advanced design patterns, models and algorithms to analyse complex datasets and generate actionable insights
• Collaborate with stakeholders to translate business needs into AI/ML solutions, evaluate user journeys and challenge business requirements to ensure seamless, value driven delivery and integration of solutions
• Apply innovative problem-solving techniques, leveraging advanced methodologies to find unique approaches to complex problems and improve outcomes
• Investigate and resolve complex challenges in data pipelines, modelling, and deployment to ensure reliable solutions that meet performance benchmarks
• Mentor team members through code reviews, model validations, pairing sessions, and knowledge-sharing sessions, and contribute to Communities of Practice
• Effectively communicate modelling, infrastructure, and deployment choices to both technical and non-technical stakeholders
• Maintain detailed, impactful documentation, covering methodologies, data pipelines, model performance, and key design decisions to enable reproducibility and scalability
• Ensure readiness for production releases, focusing on testing, monitoring, observability, and maintaining scalability and reusability of models for future projects
• Drive cross-team and cross-discipline initiatives to optimize workflows, remove redundant applications and processes, share best practices, and enhance collaboration between teams
• Demonstrate awareness of shared platform capabilities and actively identify opportunities to leverage them in designing efficient and scalable AI/ML solutions

Foundational Skills

• Mastered Data Analysis, Data Science and and AI & Machine Learning concepts and can demonstrate this skill in complex scenarios
• Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance.

Specialized Skills

• To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance:
  • Data Validation and Testing
  • Model Deployment
  • Machine Learning Pipelines
  • Deep Learning
  • Natural Language Processing (NPL)
  • Optimization & Scientific Computing
  • Decision Modelling and Risk Analysis.
  • Technical Documentation

Qualifications & Requirements

• Bachelor's degree in B.E/BTech, preferably in computer science
• Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions)
• Communicate effectively with technical and non-technical audiences with experience in stakeholder management
• Structured, highly analytical mind-set and excellent problem-solving skills;
• Self-starter, highly motivated & Willing to share knowledge and work as a team.
• An individual who respects the opinion of others; yet can drive a decision though the team;

Preferred Experiences

• 8+ years of years of relevant experience in the field of Data Engineering
• 5+ years of hands-on experience with Apache Spark, Python and SQL
• Experience working with large datasets and big data technologies to train and evaluate machine learning models.
• Experience with containerization: Kubernetes & Docker
• Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C
• Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc

As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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