We are seeking a seasoned AI/ML Engineer with deep expertise in both traditional machine learning and modern Generative AI/LLM technologies.

Company: Maersk

Role: Senior AIML Engineer

Location: India, Bengaluru, 560064 | India, Pune, 411014 | Hybrid | Remote

Role Focus: • Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions • Lead and execute end-to-end AI/ML projects — from data exploration and model development to validation, deployment, and monitoring in production • Independently design and implement scalable machine learning solutions and data systems • Design and implement RAG (Retrieval Augmented Generation) systems for enterprise knowledge management • Develop guardrails and safety measures for GenAI applications in production • Implement cost optimization strategies for LLM inference at scale • Create synthetic data generation pipelines for model training and testing • Build and optimize prompt engineering strategies and fine-tuning pipelines • Drive solution architecture using techniques in data engineering, programming, machine learning, NLP, and computer vision • Implement and refine feature engineering, monitoring, ML pipelines, deploy models in production • Build real-time inference APIs with sub-second latency requirements • Develop forecasting models for demand prediction and supply chain optimization • Create recommendation systems for route optimization and customer solutions • Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking • Ensure readiness for production releases, focusing on testing, monitoring, observability, and maintaining scalability • Implement comprehensive model versioning, registry, and rollback strategies • Build automated retraining pipelines and drift detection systems • Guide junior and associate AI/ML engineers through technical mentoring, code reviews, and solution reviews • Translate technical outputs into actionable insights for business stakeholders through storytelling and data visualizations • Drive cross-team and cross-discipline initiatives to optimize workflows and enhance collaboration • Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams