Senior Machine Learning Engineer at APS leading MLOps initiatives and collaborating across teams. Designing and implementing scalable machine learning solutions with a focus on real - time decision - making.
About the role
- Senior AIML Engineer driving AI transformation at Maersk. Partnering with teams to define problem statements and lead AI/ML projects.
Responsibilities
- Partner with business, product, and engineering teams to define problem statements
- Lead and execute end-to-end AI/ML projects — from data exploration and model development to validation, deployment, and monitoring
- 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
- 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
Requirements
- 10+ years of hands-on experience delivering enterprise-grade AI/ML solutions
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related quantitative field
- Proven track record of deploying ML models in production at scale
- Strong business acumen and ability to bridge the gap between data and decisions
- Experience leading cross-functional AI initiatives
- Prior understanding of shipping and logistics domain (Preferred)
- Open source contributions to ML projects (Preferred)
- Experience with agentic workflows and autonomous systems (Preferred)
Benefits
- Opportunity to work on cutting-edge AI projects at global scale
- Access to state-of-the-art computing resources and tools
- Collaborative environment with top AI/ML talent
- Professional development and conference attendance support
- Competitive compensation and benefits package
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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