MLOps Engineer
Core
Design, build, and deploy scalable machine learning systems and pipelines for client projects within a consultancy.
Role type
Mid–Senior MLOps Engineer
Builds
Production-ready ML systems and supporting infrastructure
Domain
AI and MLOps
Deliverable
production ML models
Required skills
Python, cloud platforms (AWS/Azure/GCP), DevOps/CI/CD, infrastructure-as-code, Docker, Git, Linux, ML frameworks (PyTorch/TensorFlow/Scikit-learn)
Preferred skills
Agile delivery, client-facing experience, R&D initiatives
Technologies
AWS, Azure, GCP, Docker, Git, Linux, PyTorch, TensorFlow, Scikit-learn
Responsibilities
Build and deliver scalable ML systems, design and implement robust ML pipelines, collaborate with stakeholders on requirements, contribute to engineering best practices and documentation, participate in agile ceremonies, explore and adopt new tools and frameworks
Seniority
Mid–Senior, hands-on IC