We are looking for a Senior AI Engineering Machine Learning Engineer to lead backend development for advanced GenAI projects.
You will be responsible for designing, deploying, and maintaining scalable AI-driven applications using OpenAI APIs and cloud-native tools, with a focus on automation and monitoring. Join us to play a key role in innovative AI solutions and grow your expertise in AI engineering.
Responsibilities
Design and enhance backend services supporting AI and large language model applications
Integrate and scale LLM-based solutions within cloud infrastructures
Build and maintain CI/CD pipelines for seamless deployment automation
Monitor AI service performance and implement improvements
Ensure comprehensive observability and logging for LLM API usage
Collaborate closely with DevOps and AI/Data Science teams to improve processes
Utilize cloud platforms, especially Azure, to deploy and scale AI applications
Create APIs and microservices enabling AI-powered capabilities
Requirements
At least 3 years of professional experience in machine learning engineering with a backend software emphasis
Proven expertise with OpenAI APIs and integrating AI services
Strong knowledge of MLOps and CI/CD tools such as Orion, ArgoCD, and Opsera
Experience with monitoring and observability platforms like Grafana, Dynatrace, and ThoughtSpot
Solid background with cloud and infrastructure technologies including Azure, Apache Spark, and Databricks
Advanced Python programming abilities and understanding of microservices architecture
Fluent English communication skills at B2 level or above