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. 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. 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. 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 accommodationrequests@maersk.com .