Senior Machine Learning Engineer at Sabenza IT & Recruitment

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

The role will focus on turning AI/ML models and prototypes into scalable, reliable and business-ready solutions.

Key Responsibilities

• 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.

Desired Skills

• Python
• Databricks
• MLFlow
• MLOps
• CI/CD
• Azure
• AKS

Desired Qualification Level

• Degree

About The Employer