AI ML Scientist 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 The Brief In this role as an AI ML Scientist 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 You should be able to design develop and implement machine learning models conduct deep data analysis and support decision-making with data-driven insights Responsibilities include building and validating predictive models supporting experiment design and integrating advanced techniques like transformers GANs and reinforcement learning into scalable production systems The role requires solving complex problems using NLP deep learning optimization and computer vision You should be comfortable working independently writing reliable code with automated tests and contributing to debugging and refinement You ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI ML solutions that align with business objectives and user needs Key Responsibilities Develop and implement advanced machine learning deep learning and NLP models to solve complex business problems and enhance operational efficiency Apply NLP techniques e g text classification entity recognition topic modelling embeddings large language models to extract insights from unstructured data sources such as text documents and customer interactions Analyze large structured and unstructured datasets to extract meaningful insights creating data visualizations and reports to effectively communicate findings to stakeholders Collaborate with cross-functional teams engineering product operations business stakeholders to identify opportunities for applying advanced analytics and ensure alignment with business goals Design conduct and evaluate experiments to validate model performance improve NLP pipelines and optimize algorithms based on feedback and results Stay current with industry trends in AI ML NLP incorporating state-of-the-art methods and best practices into workflows Manage end-to-end data science projects - from problem definition and data preparation to model development deployment and monitoring - ensuring timely and high-quality delivery Requirements Strong understanding of statistical analysis hypothesis testing predictive modeling and NLP concepts tokenization embeddings transformers semantic search 5 years of solid experience with Machine Learning Deep Learning frameworks scikit-learn TensorFlow PyTorch Keras Hands-on experience in NLP libraries and frameworks spaCy Hugging Face Transformers NLTK gensim Strong programming skills preferably in Python PySpark SQL Experience with data visualization tools e g Tableau Power BI Matplotlib Seaborn to present insights effectively Proven ability to solve problems independently while collaborating in rapid-paced cross-functional teams Excellent communication skills to clearly articulate technical concepts to non-technical audiences Solid experience working with both supervised and unsupervised learning techniques on real-world datasets Preferred Qualifications Experience deploying NLP and ML models in production environments using Docker Kubernetes Azure ML or Azure Data Factory Familiarity with cloud platforms Azure AWS GCP and MLOps pipelines Experience building interactive dashboards Power BI Dash Streamlit or integrating NLP insights into business-facing applications Strong hands-on experience with distributed computing frameworks e g Spark Exposure to cloud-based orchestration technologies Airflow KubeFlow Experience applying Generative AI and large language models LLMs for business applications such as conversational AI recommendation or automation Background in working within agile product engineering teams Scrum Kanban 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

📌 Aiml Scientist (Karnataka)
🏢 Maersk
📍 Karnataka