8-month contract
100% remote
MUST HAVES:
5-7 years' experience leading or co-managing ML operations, models, workflows and lifecycle phases
In-depth experience of data and software development life cycle and pipelines
Advanced hands-on experience with Python, SQL, PySpark
Experience with Azure stack – Databricks, DevOps, MLFlow, ADF, Kubernetes (AKS), Azure Machine Learning (AMLS)
Comfortable leading detailed reviews and approvals of pull requests and pipelines
Thought leader for set up & improvements in every life cycle phase of ML development from infrastructure to code walk through to sustain/maintenance
Experience working across multiple tech teams including data analysts, engineers, scientists as well as platform team
Knowledge of ML methods and models, ML libraries, etc. to be able to discuss with Data Science leads
DAY TO DAY:
We are seeking a Sr. MLOps Consultant to help manage and drive the operations and development lifecycle of machine learning products across multiple domains. This role requires deep technical expertise, operational oversight, and thought leadership in MLOps practices, ML/DS lifecycle management, and Agile methodologies. You will be instrumental in ensuring scalable, secure, and maintainable ML solutions from infrastructure to deployment, with a strong focus on Azure-based platforms