ILFCRM MLOps Engineer

Sheffield, Yorkshire
Middleware Systems

Location: Sheffield or Hybrid.

JD Attached.

Highlights for the role:

Responsible For

• Design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions.
• Receiving models from data scientists, creating, and using benchmarks and metrics, and making ML systems available/accessible to the systems that use/need it.
• Develop, deploy, and maintain machine learning models, pipelines and workflows in production environment.
• Work with DevOps team to deploy and manage infrastructure for machine learning services.

Technical Skills – must-have

• Bachelor’s or master’s degree in computer science, engineering or related field.
• 5+ years of experience in software development, machine learning engineering or related field.
• Programming languages like Shell, Python, SQL.
• Ability to understand tools used by data scientist (eg Jupiter notebook, pandas, scipy) and experience with software development and test automation Docker, Kubernetes
• Strong understanding of machine learning concepts and frameworks, including TensorFlow, PyTorch, Scikitlearn, etc.

RESTRICTED

• Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, mlflow, Argo, etc.)
• Good English communication (verbal, written, email). Ability to explain complex ideas

Technical Skills – nice-to-have

• GCP certified.
• Experience with time-series data and forecasting models.
• Experience with data streaming technologies such as Kafka, Kinesis, etc.
• Cloud DevOps (Terraform/Jenkins/Ansible)
• Security (IAM, AD, ADLDS, roles, service accounts, entitlements)
• Agile development principles (Scrum, Kanban, MVP).
• Python with Data analytics (Pandas, Numpy etc.)

Additional Requirements

• Ability to work in a team that is located across multiple countries/regions.
• Willingness to adapt and learn new things.
• Takes ownership of tasks.