Staff ML/AI Engineer for healthcare communication solutions at Accurx. Leading AI/ML initiatives to enhance patient communication and healthcare efficiency.
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
Senior Machine Learning Engineer developing ML systems for healthcare communication technology at Accurx. Join our mission - driven team to solve real - world problems in healthcare.
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