**Machine Learning Operations Expert**
We are seeking a skilled professional to 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.
Responsibilities:
* Manage and drive the operations and development lifecycle of machine learning products.
* Leverage technical expertise to ensure scalable, secure, and maintainable ML solutions.
* Collaborate with data analysts, engineers, scientists, and platform teams to drive MLOps practices and ML/DS lifecycle management.
* Lead detailed reviews and approvals of pull requests and pipelines.
* Develop and implement process improvements for MLOps practices and ML/DS lifecycle management.
Requirements:
* 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).
* Strong knowledge of ML methods and models, ML libraries, etc. to discuss with Data Science leads.
* Comfortable working across multiple tech teams.
Bonus Points:
* Experience with Agile methodologies.
* Knowledge of cloud computing platforms.
About This Role:
This is an exciting opportunity to join our team as a Senior Machine Learning Engineer and contribute to the development of innovative machine learning solutions.
You will have the opportunity to work with a talented team of professionals who share your passion for machine learning and technology.