Intern supporting AI transformation at BMW Group's GenAI Self - Service Platform. Contributing to efficiency and compliance in a project environment with an international development team.
About the role
- Senior AI/ML Scientist designing and developing scalable solutions for data analytics at Maersk. Collaborating with cross-functional teams to enhance supply chain execution through innovative AI/ML techniques.
Responsibilities
- 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
Requirements
- Bachelor's degree in B.E/BTech, preferably in computer science
- 8+ 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)
- 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.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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