A.P. Moller - Maersk

Senior AI/ML Engineer

A.P. Moller - Maersk

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Senior

Tech Stack

AzureCloudPySparkPythonSQL

About the role

  • Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value.
  • Lead and execute end-to-end AI/ML projects — from data exploration and model development to validation, deployment, and monitoring in production.
  • Drive solution architecture using techniques in data engineering, programming, machine learning, NLP, and Generative AI.
  • Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking.
  • Guide junior and associate AI/ML engineers through technical mentoring, code reviews, and solution reviews.
  • Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams.
  • Translate technical outputs into actionable insights for business stakeholders through storytelling, data visualizations, and stakeholder engagement.

Requirements

  • 7+ years of hands-on experience delivering enterprise-grade AI/ML solutions.
  • Advanced proficiency in Python, SQL, PySpark
  • Experience working with cloud platforms (Azure preferred) and tools such as Databricks, Synapse, ADF, and Web Apps
  • Strong expertise in applied text analytics, NLP, and Generative AI, with real-world deployment exposure
  • Solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production
  • Prior experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines
  • Problem solver with scientific rigor, strong business acumen, and the ability to bridge the gap between data and decisions
  • Bachelor's or master’s degree in computer science, Engineering, Statistics, or a related quantitative field
  • PhD is a plus
  • Prior understanding in business domain of shipping and logistics is an advantage
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