AIML Engineer- Global Data Analytics Technology Maersk This position will be based in India - Bangalore Pune A P Moller - Maersk 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 mean 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 We are responsible for moving 20 of global trade is on a mission to become the Global Integrator of Container Logistics To achieve this we are transforming into an industrial digital giant by combining our assets across air land ocean and ports with our growing portfolio of digital assets to connect and simplify our customer s supply chain through global end-to-end solutions all the while rethinking the way we engage with customers and partners The Brief In this role as an Associate AIML Engineer on the Global Data and Analytics GDA team you will support the development of strategic visibility-driven recommendation systems that serve both internal stakeholders and external customers This initiative aims to deliver actionable insights that enhance supply chain execution support strategic decision-making and enable cutting-edge service offerings Data AI ML Artificial Intelligence and Machine Learning Engineering involves the use of algorithms and statistical models to enable systems to analyse data learn patterns and make data-driven predictions or decisions without explicit human programming AI ML applications leverage vast amounts of data to identify insights automate processes and solve complex problems across a wide range of fields including healthcare finance e-commerce and more AI ML processes transform raw data into actionable intelligence enabling automation predictive analytics and intelligent solutions Data AI ML combines advanced statistical modelling computational power and data engineering to build intelligent systems that can learn adapt and automate decisions What I ll be doing - your accountabilities Key Responsibilities Requirement Gathering Solution Design Engage with stakeholders to capture requirements define use cases and translate them into technical solutions End-to-End Development Design build test and deploy robust scalable and optimized GenAI ML systems Software Engineering Practices Apply best practices in code quality version control security CI CD pipelines automated testing and error handling GenAI Development Build fine-tune and optimize LLMs multimodal models and diffusion models for real-world applications RAG Agentic Systems Implement Retrieval-Augmented Generation RAG pipelines agentic frameworks and contextual workflows with MCP NLP Embeddings Leverage natural language processing NLP techniques and embeddings for semantic search classification and personalization ML DL Engineering Research design and implement new machine learning and deep learning models Solve ambiguous business problems with the right data-driven approaches Perform A B testing and evaluate model system performance Integration Develop APIs and services to embed GenAI ML solutions into enterprise applications and user-facing products Documentation Collaboration Produce clear technical documentation of designs assumptions and methodologies collaborate with cross-functional teams while owning execution as an IC Required Skills Experience GenAI NLP Expertise Strong understanding of LLMs embeddings transformers RAG agentic frameworks MCP and multimodal AI Experience with fine-tuning LoRA PEFT instruction tuning and evaluation embedding similarity BLEU ROUGE human-in-loop Programming Data Science Proficiency in Python with solid grounding in data science fundamentals data cleaning EDA preprocessing feature engineering Experience with ML GenAI frameworks PyTorch TensorFlow Hugging Face LangChain LlamaIndex Hands-on with vector databases FAISS Pinecone Weaviate Milvus Software Engineering Experience designing building and testing production-grade systems Strong background in software practices modular design code reviews debugging automated testing Familiarity with pipeline automation and secure development practices MLOps Deployment Experience with CI CD Docker Kubernetes and cloud platforms AWS SageMaker Azure OpenAI GCP Vertex AI Monitoring scaling and optimizing deployed GenAI ML models Preferred Skills Exposure to multimodal systems text-to-image speech-to-text text-to-video Knowledge of data pipelines and scalable vector search architectures Contributions to open source research or hackathons in GenAI ML Qualifications BSc MSc PhD in computer science data science or related discipline with 5 years of industry experience building cloud-based ML solutions for production at scale including solution architecture and solution design experience Good problem solving skills for both technical and non-technical domains Good broad understanding of ML and statistics covering standard ML for regression and classification forecasting and time-series modeling deep learning 4 years of hands-on experience building ML solutions in Python incl knowledge of common python data science libraries e g scikit-learn PyTorch etc Hands-on experience building end-to-end data products based on AI ML technologies Experience with collaborative development workflow version control we use github code reviews DevOps incl automated testing CI CD Strong foundation with expertise in neural networks optimization techniques and model evaluation Experience with LLMs Transformer architectures BERT GPT LLaMA Mistral Claude Gemini etc Proficiency in Python LangChain Hugging Face transformers MLOps Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments Knowledge of multimodal AI integrating text image other data modalities into unified models Team player eager to collaborate and good collaborator Preferred Experiences In addition to basic qualifications would be great if you have Hands-on experience with common OR solvers such as Gurobi Experience with a common dashboarding technology we use PowerBI or web-based frontend such as Dash Streamlit etc Experience working in cross-functional product engineering teams following agile development methodologies scrum Kanban Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions including open-source solutions Experience with cloud-based orchestration technologies e g Airflow KubeFlow etc Experience with containerization Kubernetes Docker 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

📌 Ai/ml Engineer (Karnataka)
🏢 Maersk
📍 Karnataka