Business Data Analyst (Ai/ML Engineer)

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A.P. Moller - Maersk

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Azure Databricks Pandas pySpark Synapse Analytics Factory

Job Description

Job Titale: AI/ML Engineer โ€“ Forecasting & Network Analytics

Location: Remote

Experience: 4โ€“6 years

Overview

Weโ€™re looking for an AI/ML Engineer with strong experience in forecasting and machine learning model development to drive data-driven optimization

Key Responsibilities

  • Build and deploy forecasting models (demand, volume, capacity planning)
  • Develop ML models for network optimization and operational efficiency
  • Work on production level code
  • Perform deep-dive analysis to identify trends and improvement opportunities
  • Work closely with business teams to translate problems into ML solutions
  • Monitor, evaluate, and improve model performance
  • Work closely with data team to get data in required format

Required Skills

  • Hands-on experience in ML model development & deployment
  • Strong background in time-series forecasting
  • Experience working with large datasets in cloud environments
  • Exposure to logistics / supply chain analytics is a plus
  • Azure (Databricks, Azure ML, Data Factory, Synapse)
  • Python (pandas, PySpark)
  • SQL, Power BI (good to have)

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 [email protected].

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