Machine Learning Consultant

Role : Machine Learning Consultant.

Location : Remote.

Duration : Long Term Contract.

Key Responsibilities :

• Architecture Design : Design and build scalable systems and infrastructure to deploy, scale, and monitor machine learning solutions on the Databricks Lakehouse platform, leveraging the unified approach of data lakes and warehouses for both structured and unstructured data.
• Platform Enablement : Enable data science teams to operationalize ML workflows from data ingestion through feature engineering to model training, deployment, and monitoring. Experience with Databricks Online Feature Store and Asset Bundles is essential.
• Tooling & Integration : Define and implement MLOps practices using Databricks components such as MLflow (tracking, registration, deployment), Delta Lake (data versioning and logging), Unity Catalog (data governance and access control), and experience with Delta Sharing methods.
• CI / CD Implementation : Architect robust CI / CD pipelines using Azure DevOps or GitHub Actions to automate testing and deployment of ML code and models, supporting MLOps 3.0 principles.
• Collaboration : Work closely with data engineers, scientists, and DevOps teams to ensure platform implementations meet business requirements and technical standards.
• Monitoring & Optimization : Implement comprehensive monitoring of model performance, data drift, and bias to ensure ongoing model health and timely retraining triggers.
• Technical Leadership : Provide leadership in system design, infrastructure standardization, and documentation to promote best practices and facilitate cross-team knowledge sharing.

Required Qualifications :

Preferred Qualifications :