Back
Tier-1 brand, Bangalore metro, popular mid-senior ML/data role with broad requirements makes competition high.
Core ML and data engineering skills are broadly transferable across industries; logistics experience is merely a plus.
Explicit 7+ years plus mandatory cloud, Spark, MLOps, LLM and containerization requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and scale data-intensive AI/ML solutions powering intelligent decision-making in Maersk's supply chain ecosystem.
Design, develop, and maintain robust data pipelines, data platforms, and end-to-end AI/ML systems using cloud services and big data technologies.
Implement MLOps/DataOps practices, optimize cloud infrastructure, and integrate LLMs/Generative AI into production workflows.
7+ years of experience in Data Engineering and AI/ML engineering in production environments.
Strong programming skills in Python, SQL, and Spark/PySpark for large-scale data processing.
Experience with cloud platforms (Azure or AWS) and associated data/ML services, plus proficiency with MLOps tools and containerization (Docker, Kubernetes).
Work Experience Required: 7+ years (explicitly mentioned).
Experienced in designing scalable data and AI/ML architectures with a focus on production-grade solutions in cloud environments.
Skilled at translating business problems into measurable technical solutions with expertise in advanced data modeling and cost-optimized cloud infrastructure.
Has hands-on exposure to modern ML workflows including LLMs/Generative AI integration and managing ML lifecycle through MLOps.