Machine Learning Engineer
Machine Learning Engineer
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Job Description
Machine Learning and simulation engineer
Maersk the worlds largest shipping company responsible for moving 20 of global trade is on a mission to become the Global Integrator of Container Logistics. To achieve this we are transforming into an industrial digital giant by combining our assets across air land ocean and ports with our growing portfolio of digital assets to connect and simplify our customers supply chain through global endtoend solutions all the while rethinking the way we engage with customers and partners.
In this role as ML and simulation engineer on the Global Data and Analytics (GDA) team you will be working on our new strategic visibility initiative to develop advanced simulation and optimization solutions for emissions. The overall objective is to further evolve our existing Emissions Studio product with scenario analysis and AI/MLpowered emissions optimization which will unlock significant value to our customers as they look to make informed tradeoff decisions on emissions reductions while understanding the impact to transportation time and cost. Building on top of an existing product with an existing customer base you will be partnering with product managers and engineering counterparts to develop scalable solutions following industry bestpractices. You will be empowered to take ownership of your domain and we expect you to proactively contribute to identifying opportunities and solutions. There is a lot of exciting challenges ahead of us and the ideal candidate will have a passion for working on industrytransforming products and creating impact from the ground up in a fastpaced environment.
To deliver on this scope we are looking for a candidate with strong problem solving skills with demonstrated handson experience in machine learning and scenario simulation. It would be ideal if you are also familiar with mathematical optimization (constrained optimization leveraging techniques from Operations Research such as linear programming) but this is not a must. You should furthermore have experience taking solutions to production in collaboration with colleagues from data engineering and software engineering.
No prior knowledge of logistics needed; we will help you learn what youll need to succeed.
Key responsibilities
- Develop test and deploy technical solutions for forecasting prediction scenario simulation and optimization as well as other analytical tools together with the team. In addition to the topics mentioned above this can also include building integrated data sets analyses and dashboarding
- Lead model development implementation and deployment endtoend incl. MLOps (mindset and technical implementation using our stack). Specifically you will drive problem formulation modeling approach implementation testing deployment and monitoring.
- Collaborate with software engineers and data engineers to deploy recommendation solutions to production
- Partner with product managers to drive maturation of ideas into production solutions including challenging problem formulation
- Communicate effectively with technical and nontechnical audiences
Basic qualifications
- BSc/MSc/PhD in computer science data science or related discipline with 5 years of industry experience building cloudbased ML solutions for production at scale including solution architecture and solution design experience
- Good problem solving skills for both technical and nontechnical domains
- Good broad understanding of ML and statistics covering standard ML for regression and classification forecasting and timeseries modeling deep learning.
- 3 years of handson experience building ML solutions in Python incl knowledge of common python data science libraries (e.g. scikitlearn PyTorch etc)
- Handson experience building endtoend data products based on AI/ML technologies
- Some experience with scenario simulations.
- Experience with collaborative development workflow: version control (we use github) code reviews DevOps (incl automated testing) CI/CD
- Team player eager to collaborate and good collaborator
Preferred qualifications
In addition to basic qualifications would be great if you have
- Handson experience with common OR solvers such as Gurobi
- Experience with a common dashboarding technology (we use PowerBI) or webbased frontend such as Dash Streamlit etc.
- Experience working in crossfunctional product engineering teams following agile development methodologies (scrum/Kanban/
- Experience with Spark and distributed computing
- Strong handson experience with MLOps solutions including open source solutions.
- Experience with cloudbased orchestration technologies e.g. Airflow KubeFlow etc
- Experience with containerization (Kubernetes & Docker)
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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Employment Type
Full-Time
