Maersk Global Service Centres

4 days ago

Bangalore, India Maersk Global Service Centres Full time

Job Title: Senior Data Scientist/ML Engineer

In this role as a senior data scientist/ML engineer on the Global Data and Analytics (GDA) team at Maersk Global Service Centres, you will be working on our new strategic visibility initiative to develop recommendation solutions for internal and external users.

The overall objective is to develop actionable recommendations that enable unprecedented flexibility during supply chain execution and strategic planning, and unlock new types of services for our internal users and our customers.

You will be partnering with product managers and engineering counterparts to develop scalable solutions following industry best-practices.

This role requires a demonstrated ability to make sense out of large, integrated datasets, and build statistical and machine learning (ML) models on top of these data sets.

Key responsibilities include developing, testing, and deploying prediction, forecasting, and recommendation system solutions and other analytical tools together with the team.

In addition, you will lead model development, implementation, and deployment end-to-end, including MLOps (mindset and technical implementation).

Experience with collaborative development workflow, version control, code reviews, DevOps, and CI/CD is required.

A strong hands-on experience with MLOps solutions, including open-source solutions, is a plus.

This is an exciting opportunity for a senior data scientist/ML engineer to take ownership of their domain and contribute to identifying opportunities and solutions in a fast-paced environment.

Qualifications:

  • BSc/MSc/PhD in computer science, data science, or related discipline with 10+ years of industry experience building cloud-based ML solutions for production at scale.
  • 3+ years of hands-on experience building ML solutions in Python, including knowledge of common Python data science libraries.
  • Hands-on experience building end-to-end data products based on recommendation technologies.
  • Experience with collaborative development workflow, version control, code reviews, DevOps, and CI/CD.
  • Strong hands-on experience with MLOps solutions, including open-source solutions.

We offer:

  • A dynamic, international environment with opportunities for growth and development.
  • A chance to work on industry-transforming products and create impact from the ground up.
  • A collaborative team environment with a focus on innovation and excellence.

We are looking for:

  • A senior data scientist/ML engineer with a strong background in machine learning and data science.
  • Someone who is passionate about working on industry-transforming products and creating impact from the ground up.
  • A team player who is eager to collaborate and contribute to the success of the team.

How to apply:

Please submit your application, including your resume and a cover letter, to [insert contact information].

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