AI ML DevOps Engineer
Core
Designing and deploying scalable ML pipelines and AI-driven prototypes to enhance developer workflows and automate software development processes.
Role type
Senior IC ML DevOps Engineer
Builds
Scalable ML pipelines, AI prototypes, MVPs, and automated DevSecOps workflows for internal software development teams.
Domain
Software Development / MLOps / AI Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Golang, Rust, TensorFlow, PyTorch, LangChain, Kubernetes, Kubeflow, MLflow, GitLab CI, Terraform, Apache Kafka, Spark, RAG techniques, prompt engineering, neural networks, optimisation algorithms
Preferred skills
Master's degree in CS/Engineering/Data Science, experience with code generation and testing automation, A/B testing and canary release strategies
Technologies
Kubernetes, Kubeflow, MLflow, GitLab CI, Terraform, Apache Kafka, Spark, TensorFlow, PyTorch, LangChain
Responsibilities
Develop and iterate on AI-driven prototypes for code specification, generation, and testing automation; Design and deploy scalable ML pipelines with robust training, testing, and monitoring; Integrate AI-based prototypes into the broader software lifecycle; Collaborate with DevSecOps teams to integrate ML workflows with CI/CD pipelines; Document AI use cases, PoCs, and best practices for AI integration
Seniority
Senior, hands-on IC