Data Engineer for AI and Analytics

2 weeks ago

Bengaluru, Karnataka, India Maersk Full time

At Maersk, we are committed to a diverse and inclusive workplace that fosters creativity and professional growth. As a Data Engineer for AI and Analytics, you will have the opportunity to work on ground-breaking projects that merge machine learning and software engineering.

Our company overview is as follows:

Overview of A.P. Moller - Maersk

A.P. Moller - Maersk is an integrated container logistics company and member of the A.P. Moller Group. We connect and simplify trade to help our customers grow and thrive. With a dedicated team of over 80,000 operating in 130 countries, we go all the way to enable global trade for a growing world. From the farm to your refrigerator, or the factory to your wardrobe, A.P. Moller - Maersk is developing solutions that meet customer needs from one end of the supply chain to the other.

We offer a salary range of $120,000 - $180,000 per year, depending on qualifications and experience.

About the Job

This role places you at the forefront of pioneering technologies aimed at enhancing data quality, analytics, and ML & AI capabilities. Our team is dedicated to establishing the groundwork for seamlessly integrating data, systems, and processes. This is made possible by a scalable Digital Infrastructure, aligning with Maersk's vision to be the Global Integrator of container logistics, connecting, and simplifying customers' supply chains.

Key Responsibilities

  • Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
  • Develop high-quality, production-ready code that can be used by millions of users of our applications.
  • Make design decisions on the basis of performance, scalability, and future expansion.
  • Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
  • Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment.
  • Excellent understanding and experience of Python, Git, Kubernetes, Terraform, Keras,, PyTorch, Kubeflow, Docker, ClearML, Kubeflow, MLFlow etc.
  • Hands-on experience with API frameworks like Springboot, Django, Fastapi etc.
  • Design and implement software applications, libraries, and APIs that integrate machine learning components seamlessly.
  • Collaborate to understand modelling requirements and translate them into effective technical solutions.
  • Implement software engineering best practices, including version control, code reviews, and testing methodologies.
  • Architect and optimize software systems for scalability, performance, and reliability.
  • Collaborate with cross-functional teams to ensure seamless integration of machine learning models into software products.
  • Troubleshoot and debug issues across the entire technology stack, from data pipelines to user interfaces.
  • Participate in brainstorming sessions, technical discussions, and contribute innovative ideas to drive continuous improvement.

Qualifications and Experience

  • Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, Machine Learning, Data Science, or a related field.
  • Experience working in a research environment.
  • Candidates wishing to work on ML/AI projects should have a good understanding of deep learning and large-scale ML concepts.
  • Candidates with experience in Data Science and shipping ML models into production will be preferred for AI/ML projects.
  • Candidates wishing to work on Systems projects should have a good understanding and experience in systems software (e.g. database systems or distributed systems).
  • At least 5 years of industry experience working on machine learning or systems software.

Why Join Us

We value diversity and inclusion and welcome 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.

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