Associate AI/ML Scientist
Associate AI/ML Scientist
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Job Description
AI/ML Scientist Global Data Analytics Technology (Maersk)
This position will be based in India Bangalore
A.P. Moller - Maersk
A.P. Moller Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80000 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.
Youll 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 be Ill doing your accountabilities
- Design develop and implement machine learning models conduct in-depth data analysis and support decision-making with data-driven insights
- Develop predictive models and validate their effectiveness
- Support the design of experiments to validate and compare multiple machine learning approaches
- Research and implement cutting-edge techniques (e.g. transformers GANs reinforcement learning) and integrate models into production systems ensuring scalability and reliability
- Apply creative problem-solving techniques to design innovative models develop algorithms or optimize workflows for data-driven tasks
- Independently apply data-driven solutions to ambiguous problems leveraging tools like Natural Language Processing deep learning frameworks machine learning optimization methods and computer vision frameworks
- Understand technical tools and frameworks used by the team including programming languages libraries and platforms and actively support debugging or refining code in projects
- Write and integrate automated tests alongside their models or code to ensure reproducibility scalability and alignment with established quality standards
- Contribute to the design and documentation of AI/ML solutions clearly detailing methodologies assumptions and findings for future reference and cross-team collaboration
- Collaborate across teams to develop and implement high-quality scalable AI/ML solutions that align with business goals address user needs and improve performance
Foundational Skills
- Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios
- AI & Machine Learning 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.
- To understand fundamentals and can demonstrate this skill in common scenarios with guidance:
- Technical Documentation.
Qualifications & Requirements
- Bachelors degree inB.E./ preferably inComputer ScienceData ScienceMathematicsStatistics or related fields.
- Strong practical understanding of:
- Machine Learning algorithms(classification regression clustering time-series)
- Statistical inferenceandprobabilistic modeling
- Data wrangling feature engineering and preprocessing at scale
- Proficiency in collaborative development tools:
- IDEs (e.g. VS Code Jupyter)Git/GitHubCI/CD workflows unit and integration testing
- Excellent coding and debugging skills inPython(preferred) with knowledge ofSQLfor large-scale data operations
- Experience working with:
- Versioned data pipelinesmodel reproducibility andautomated model testing
- Ability to work in agile product teams handle ambiguity and communicate effectively with both technical and business stakeholders
- Passion for continuous learning and applying AI/ML in impactful ways
Preferred Experiences
- 5 yearsof experience inAI/ML or Data Scienceroles working on applied machine learning problems in production settings
- 3 yearsof hands-on experience with:
- Apache Spark distributed computing and large-scale data processing
- Deep learningusingTensorFloworPyTorch
- Model serving viaREST APIsbatch/streaming pipelines orML platforms
- Hands-on experience with:
- Cloud-native development (Azure preferred; AWS or GCP also acceptable)
- DatabricksAzure ML orSageMakerplatforms
- Experience withDockerKubernetes and orchestration of ML systems in production
- Familiarity withA/B testingcausal inferencebusiness impact modeling
- Exposure to visualization and monitoring tools:Power BISupersetGrafana
- Prior work inlogisticssupply chainoperations research orindustrial AIuse cases is a strong plus
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.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website apply for a position or to perform a job please contact us by emailing .
Required Experience:
IC
Employment Type
Full-Time
