Sr. MLOps Consultant Job Description
About the Role
We are seeking a highly experienced Sr. MLOps Consultant to join our team 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.
Key Responsibilities
* Manage and drive the operations and development lifecycle of machine learning products
* Ensure scalable, secure, and maintainable ML solutions from infrastructure to deployment
* Develop and implement MLOps practices, ML/DS lifecycle management, and Agile methodologies
Required Skills and Qualifications
* 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
Benefits
This role offers a unique opportunity to work on complex machine learning projects and contribute to the development of cutting-edge technologies.
You will have the chance to work with a talented team of professionals who share your passion for AI and ML.
We offer a competitive compensation package and opportunities for growth and professional development.
Please note that we are looking for a long-term commitment, and this is not a contract position.