Senior Software Engineer ( AI/ML)

Senior Software Engineer – AI/ML

About the Role

We are looking for a   Senior Software Engineer – AI/ML   with strong hands-on experience in   Artificial Intelligence and Machine Learning, particularly in designing and developing   complex, production-level AI/ML solutions.

The ideal candidate should have practical experience taking AI/ML solutions from concept or prototype through to   production deployment, with a strong understanding of model integration, AI/ML workflows, scalability, performance, and reliability.

Experience in   API development and software engineering   is also required, but this will be a secondary focus compared to hands-on AI/ML expertise.

Key Responsibilities

- Design, develop, deploy, and maintain   production-grade AI/ML solutions   for complex business and technical use cases.
- Develop and implement AI/ML solutions using appropriate models, frameworks, tools, and technologies.
- Work with   Generative AI, Large Language Models (LLMs), and AI/ML applications   where applicable.
- Develop solutions involving   RAG, embeddings, vector databases, prompt engineering, model integration, and AI workflows.
- Build and integrate AI/ML capabilities into enterprise applications and existing technology ecosystems.
- Evaluate and optimize AI/ML solutions for   accuracy, performance, scalability, reliability, and cost.
- Work with large and complex datasets and apply appropriate machine learning techniques to solve real-world problems.
- Develop and maintain   REST APIs and services   to expose and integrate AI/ML capabilities with enterprise applications.
- Integrate AI/ML solutions with databases, external services, enterprise applications, and other data sources.
- Write clean, maintainable, testable, and production-ready code.
- Participate in architecture discussions, code reviews, testing, CI/CD, deployment, and production support.
- Troubleshoot and resolve issues related to AI/ML models, applications, integrations, and production environments.
- Collaborate with engineering, product, architecture, and business teams to deliver scalable AI/ML solutions.
- Contribute to technical standards, best practices, and continuous improvement of AI/ML engineering processes.

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Required Skills & Qualifications

- Bachelor's or Master's degree in   Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- Strong professional experience in   AI/ML engineering, with proven hands-on experience building and deploying production-level AI/ML solutions.
- Experience working on   complex, real-world AI/ML use cases   rather than only prototypes, POCs, or academic projects.
- Strong programming skills in   Python. Experience with Java, C#, or TypeScript is an added advantage.
- Strong understanding of   machine learning concepts, algorithms, model development, evaluation, and deployment.
- Hands-on experience with relevant AI/ML frameworks and libraries such as   PyTorch, TensorFlow, Scikit-learn, Hugging Face, or similar.
- Experience with   Generative AI and LLM-based applications   is preferred.
- Experience with concepts such as   RAG, embeddings, vector search, prompt engineering, LLM integration, and model evaluation   is an advantage.
- Experience developing and integrating   REST APIs   using frameworks such as FastAPI, Flask, Spring Boot, .NET, or similar.
- Understanding of software engineering principles, application architecture, scalability, and performance.
- Experience working with   cloud platforms such as Azure, AWS, or GCP.
- Experience with databases such as   PostgreSQL, MongoDB, or other relational/NoSQL databases.
- Familiarity with Docker, Kubernetes, CI/CD, automated testing, and production deployment practices is preferred.
- Strong problem-solving, analytical, and communication skills.

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Preferred Qualifications

- Experience building and deploying   enterprise-scale AI/ML applications.
- Experience with   Generative AI, LLMs, and Agentic AI   solutions.
- Experience with frameworks such as   LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
- Experience with   AI agents, tool/function calling, workflow orchestration, and multi-step AI workflows.
- Familiarity with   MCP, AI guardrails, LLM evaluation, AI observability, and Responsible AI.
- Experience integrating AI/ML solutions with enterprise APIs, databases, and business applications.
- Experience with AI/ML model optimization, monitoring, and production support.
- Cloud or AI/ML certifications are a plus.

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What We're Looking For

We are primarily looking for a   strong hands-on AI/ML engineer   who has experience solving   complex, production-level AI/ML problems   and delivering reliable solutions in an enterprise environment.

The ideal candidate should be comfortable working across the AI/ML lifecycle — from   understanding the business problem and developing the solution to deployment, optimization, monitoring, and production support.

Experience in   API development and broader software engineering   is important, but it is considered a   secondary requirement. The primary differentiator for this role will be the candidate's depth of   practical AI/ML experience and their ability to build and productionize complex AI/ML solutions.

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  [email protected] .