A.P. Moller - Maersk

Senior AI/ML Engineer

A.P. Moller - Maersk

full-time

Posted on:

Location Type: Hybrid

Location: Pune • India

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformGRPCPythonPyTorchTensorflow

About the role

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

Requirements

  • 9–13 years of experience in AI/ML and software engineering
  • Proven experience building multi-agent AI systems in production environments
  • Hands-on experience designing and operating MCP servers for agent orchestration and lifecycle management
  • Strong experience with LLMs, RAG, and agent frameworks (LangGraph, AutoGen, CrewAI, custom frameworks, etc.)
  • Solid background in deep learning (PyTorch, TensorFlow) and traditional ML techniques
  • Strong understanding of agent communication patterns, tool use, memory, and planning
  • Expertise in Python and backend service development (FastAPI, REST/gRPC)
  • Experience deploying AI systems in cloud environments (AWS, Azure, or GCP)
  • Strong experience with observability, monitoring, and reliability engineering for AI services
  • Hands-on knowledge of MLOps / LLMOps best practices
  • Experience with event-driven or distributed agent systems (Good to Have)
  • Knowledge of security, access control, and compliance in agent platforms (Good to Have)
  • Experience optimizing latency and cost in multi-agent and LLM-heavy systems (Good to Have)
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Generative AI modelsLLMsdiffusion modelsGANsVAEsMachine Learning pipelinesNLPPythondeep learningMLOps
Soft skills
ownershipinnovationcollaborationcommunicationresearch