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3 Weeks ago

Gen AI Engineer

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Pune, Maharashtra, India
Information Technology
Full-Time
Maersk Line

Overview

Opportunity

Gen AI Engineer

Maersk, the world’s 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 customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners.


In this role as Gen AI engineer on the Global Data and Analytics (GDA) team, you will be working on our new strategic visibility initiative to develop recommendation solutions facing internal and external users. The overall objective is to develop actionable recommendations which enable unprecedented flexibility during supply chain execution and strategic planning and unlock new types of services for our internal users and our customers. Building on top of a best-in-industry visibility data foundation, you will be partnering with product managers and engineering teams to develop scalable solutions following industry best-practices. There is a lot of exciting challenges ahead of us, and the ideal candidate will have a passion for working on industry-transforming products and creating impact from the ground up in a fast-paced environment.
You should have demonstrated ability to make sense out of large, integrated datasets, and build data pipelines to serve machine learning (ML) models. For this role it is crucial to have prior hands-on experience developing and deploying end to end data pipelines with feature engineering to production in collaboration with data engineering, software engineering, ML engineering teams.

Shape the Future with Generative AI

Are you passionate about harnessing cutting-edge Generative AI to create transformative real-world applications? Do you dream of building autonomous systems that learn, adapt, and make decisions independently? At Maersk, we’re reimagining how businesses solve complex problems with the power of Generative AI and Autonomous Agents.

We’re looking for a Gen AI Engineer to join our dynamic team and play a pivotal role in building AI solutions that will define the future of intelligent systems. If you're excited about applying your expertise to projects that disrupt industries and drive measurable impact, we want to hear from you! This is an exciting opportunity for self-motivated engineers with technical expertise, creative problem-solving skills, and a talent for disruptive process transformation using Gen AI

What you’ll do:

  • Lead with autonomy: Take ownership of Gen AI projects from ideation to deployment, pushing boundaries of innovation
  • Design the future: Develop and fine-tune Generative AI models (LLMs, diffusion models, GANs, VAEs, etc.) to optimize SCP business processes and enhance productivity;
  • Empower AI agents: Create agent AI architectures for autonomous decision-making, task delegation, and multi-agent collaboration using Agentic AI frameworks like AutoGPT.
  • Innovate with LLM’s: Build & optimize LLM’s applications, leveraging RAG and build robust Machine Learning pipelines for NLP, Multimodal AI tasks;
  • Work with cutting-edge tools: Harness the power of Vector Databases (e.g., Pinecone, FAISS, ChromaDB) and LLM APIs (OpenAI, Anthropic, Hugging Face, Mistral, Llama).
  • Collaborate for impact: Partner with cross-functional teams to integrate AI solutions into real-world applications like chatbots, copilots, automation tools, etc.).
  • Stay ahead: Perform continuous research on state-of-the-art AI methodologies, exploring advancements in Generative AI, Autonomous Agents, and NLP to drive innovation.

Required Skills & Qualifications [Must have]

  • 4- 10 years of experience in in Machine Learning & Deep Learning and 2 years of experience in GenAI.
  • Strong foundation with expertise in neural networks, optimization techniques and model evaluation Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.). Proficiency in Python, LangChain, Hugging Face transformers, MLOps.
  • Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments. Knowledge of multimodal AI (integrating text, image, other data modalities into unified models.

Nice-to-have skills

Experience with Prompt Engineering, Fine-tuning, and RAG techniques. Familiarity with Cloud Platforms (AWS, GCP, Azure) and deployment tools like Docker, Kubernetes, FastAPI, or Flask.

Why Join Us:

  • Innovate at scale: Work on groundbreaking Generative AI technologies that redefine what’s possible.
  • Transform industries: Your work will directly impact how global organizations drive productivity and solve complex supply chain challenges.
  • Collaborate with the best: Join a team of forward-thinking engineers, researchers, and product visionaries who are shaping the future of AI.
  • Accelerate your growth: Enjoy opportunities to learn, grow, and lead in a fast-paced, innovation-driven environment.

Location: Bangalore/Pune

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
accommodationrequests@maersk.com
.

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