Senior Machine Learning Engineer

To design, build, deploy and support Machine Learning, AI and Generative AI solutions in production.

• Build and deploy Machine Learning and AI solutions into production.
  
• Develop ML pipelines using Databricks and MLflow.
  
• Build GenAI, LLM, RAG and AI Agent solutions.
  
• Deploy AI/ML solutions on Azure and AKS.
  
• Develop APIs and microservices for AI/ML applications.
  
• Use Docker and Kubernetes for scalable deployments.
  
• Implement MLOps, CI/CD, testing and monitoring.
  
• Monitor, troubleshoot and optimize production AI/ML solutions.
  
• Work with Data Scientists to move models from development into production.
  
• Collaborate with Cloud, Infrastructure, Security and Technology teams.
  
• Mentor junior engineers and contribute to best practices.
  

Key Deliverables

• Production-ready ML models and pipelines.
  
• Deployed GenAI, LLM, RAG and AI Agent solutions.
  
• AI/ML applications and APIs running on Azure/AKS.
  
• Automated deployment, testing and monitoring processes.
  
• Secure, scalable and reliable AI/ML solutions.
  

Requirements

• Relevant degree in Computer Science, Engineering, Data Science, Econometrics, Mathematical Statistics, Actuarial Science or a related field.
  
• Senior-level experience in Machine Learning Engineering, AI Engineering, MLOps or a related technical role.
  
• Proven experience deploying and supporting AI/ML solutions in production.
  
• Strong experience with Python.
  
• Hands-on experience with Databricks and MLflow.
  
• Experience with Azure and AKS.
  
• Experience with Docker and Kubernetes.
  
• Experience with MLOps and CI/CD.
  
• Experience with Generative AI, LLMs, RAG and/or AI Agents.
  
• Experience developing REST APIs and microservices.