Senior AI/ML Engineer
Listed on 2026-01-13
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Senior AI/ML Engineer
A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 countries and this means we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
Shapethe 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.
Whatyou’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 LLMs:
Build & optimize LLM 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, Chroma
DB) 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.
- 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 (Lang Graph, Auto Gen, CrewAI, custom frameworks, etc.)
- Solid background in deep learning (PyTorch, Tensor Flow) 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
- Knowledge of security, access control, and compliance in agent platforms
- Experience optimizing latency and cost in multi‑agent and LLM‑heavy systems
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.
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