Opportunity Lead 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 a Lead 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 innovative 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 Lead end-to-end AI ML projects from problem definition feature selection development implementation of models monitoring retraining infrastructure and communication of results Provide technical leadership on complex AI ML projects developing end-to-end machine learning pipelines robust data models and driving innovation in engineering practices Address advanced AI ML challenges evaluate and optimize existing data pipelines and frameworks for efficiency and cost-effectiveness using cutting-edge techniques Architect and oversee scalable production-ready data models and pipelines solve complex issues and lead work on optimization and performance of models ensuring alignment with business needs Collaborate with stakeholders and cross-functional teams and communicate insights to influence data strategy product roadmaps and scalable solutions through expertise in AI ML techniques tools architectures and business applications delivering measurable positive impact Design and advocate for resilient secure scalable and sustainable data AI ML architectures while creating modernization plans for long-term innovation and maintainability Evaluate and improve tools methodologies and assess industry practices to drive quality and innovation across AI ML engineering initiatives Mentor AI ML engineers and other talent promoting diversity inclusion and leadership development across all levels Build relationships with stakeholders champion best practices and lead initiatives to deliver robust scalable future-proof data engineering solutions while championing quality modernization and best practices across the organization Work across organizational boundaries to resolve challenges influence shared roadmaps spanning multiple teams ensuring scalable solutions prioritizing organizational objectives vs team or individual specific ones while aligning with evolving data engineering requirements Foundational Skills Have specialized in Machine Learning Pipelines can easily demonstrate in complex scenarios and mentors coaches others Have mastered the concepts and can demonstrate below skills in complex scenarios Programming AI Machine Learning Data Analysis Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing NLP Data Architecture Data Processing Frameworks Technical Documentation Technical leadership experience in Data integration and AI Agentic solutions including Connecting AI agents to various custom data sources e g Databases APIs internal document stores Implementing Retrieval Augmented Generation RAG patterns Working with Vector Stores e g Pinecone Weaviate ChromaDB FAISS etc and Knowledge Graphs Implementing agent memory storage and reasoning solutions and using various Multi-Agent Frameworks e g AutoGen CrewAI or similar Qualifications Requirements BSc MSc PhD in computer science data science or related discipline with 13 years of industry experience building cloud-based ML solutions for production at scale including solution architecture and design experience 6 years of hands-on experience building ML solutions in Python incl knowledge of common python data science libraries e g scikit-learn PyTorch etc Strong understanding and implementation experience of AI Agent solutions Hands-on experience building end-to-end data products based on recommendation technologies Experience with collaborative development workflow version control we use github code reviews DevOps incl automated testing CI CD Communication and leadership experience with experience initiating driving and delivering projects Team player eager to collaborate Preferred Experiences In addition to basic qualifications would be great if you have Experience as tech lead or engineering manager still hands-on Experience with common dashboarding technology we use PowerBI for now 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 Solid 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 Experience with front-end frameworks such as React or Angular Knowledge of data visualization using D3 js or Chart js As a performance-oriented company we strive to always recruit the best person for the job - regardless of gender age nationality sexual orientation or religious beliefs We are proud of our diversity and see it as a genuine source of strength for building high-performing team 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

📌 Lead Ai/ml Engineer (India)
🏢 Maersk
📍 India