Senior Software Engineer ( AI/ML)

Senior Software Engineer (AI/ML) About the Role We are looking for a highly skilled Senior Software Engineer (AI/ML) to join our engineering team. In this role, you will design, develop, deploy, and maintain AI/ML-powered applications and intelligent systems that solve complex business problems. You will work across the end-to-end machine learning lifecycle—from data preparation and model development to deployment, monitoring, and continuous optimization—while collaborating with cross-functional teams to build scalable, production-ready AI solutions. You will leverage modern AI frameworks, foundation models, and software engineering best practices to deliver innovative, reliable, and secure AI applications. Key Responsibilities Design, develop, test, deploy, and maintain AI/ML-driven applications and services. Build and productionize machine learning models, Generative AI applications, and intelligent automation solutions. Develop scalable APIs and backend services to integrate AI capabilities into enterprise applications. Work across the complete ML lifecycle, including data engineering, feature engineering, model training, evaluation, deployment, monitoring, and retraining. Leverage Large Language Models (LLMs), foundation models, and Retrieval-Augmented Generation (RAG) techniques to build enterprise AI solutions. Optimize model performance, scalability, reliability, and cost for production environments. Build and maintain MLOps pipelines for automated model training, deployment, versioning, and monitoring. Collaborate with Product Managers, Data Scientists, Software Engineers, and business stakeholders to define technical solutions and deliver high-quality products. Apply software engineering best practices, including code reviews, automated testing, CI/CD, and secure coding standards. Mentor junior engineers and contribute to architecture discussions, technical decisions, and engineering excellence. Stay current with advancements in AI/ML, Generative AI, and cloud-native technologies, recommending new approaches where appropriate. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. 8+ years of software engineering experience, with significant hands-on experience in AI/ML development. Strong programming skills in Python and experience with software engineering best practices. Hands-on experience with machine learning frameworks such as PyTorch , TensorFlow , or Scikit-learn . Experience with Generative AI technologies, including Large Language Models (LLMs) and AI application frameworks such as LangChain , LlamaIndex , or similar. Experience working with Hugging Face models and transformers. Strong understanding of classical machine learning algorithms, deep learning, NLP, and model evaluation techniques. Experience building REST APIs and microservices using frameworks such as FastAPI , Flask , or similar. Experience with cloud platforms such as Azure , AWS , or Google Cloud Platform . Experience with containerization and orchestration technologies such as Docker and Kubernetes . Good understanding of MLOps concepts, model versioning, monitoring, and CI/CD pipelines. Experience with databases such as PostgreSQL, MongoDB, or vector databases (e.g., Pinecone, Weaviate, ChromaDB) is an advantage. Strong understanding of distributed systems, scalability, and performance optimization. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications Experience building enterprise-scale AI/ML platforms or products. Hands-on experience with Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and agentic AI frameworks. Experience with ML orchestration tools such as MLflow, Kubeflow, Airflow, or Azure ML. Familiarity with Responsible AI, AI governance, model explainability, and security best practices. Experience working in Agile/Scrum environments. AI/ML or cloud certifications are a plus. What We're Looking For Passion for solving complex business problems using AI and Machine Learning. Strong ownership and accountability for delivering production-ready solutions. Ability to lead technical initiatives and mentor engineering teams. A continuous learner who stays updated with the latest AI technologies and industry trends. Excellent collaboration skills with the ability to work effectively across engineering, product, and business teams. 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 .