ML Architect

We are looking for a ML Architect to collaborate with Data Scientists and AI/ML community across BUs, Data Engineering, SMEs, and technical leads to help evangelize and translate business problems into scalable ML solutions across the client.

This role will be responsible for:

·        Define model serving strategies (batch, real-time, streaming inference)

·        Design and implement ML Experimentation Platform, HPO, standardization of ML pipelines and ML Metadata Storage.

·        Develop and maintain the feature repository, model governance and compliance.

·        Build and own the ML Portfolio based on BU needs.

·        Support ML Infrastructure as an administrator on Databricks, Snowflake and Sagemaker.

·     Own and publish best practices.

Requirements

• 7+ years of experience in Machine Learning or related roles.
  
• Strong background in ML System Architecture & Design.
  
• Experience with supervised and unsupervised learning, classical ML techniques (e.g. time series, statistical modelling), and survival analysis.
  
• Proven work with churn prediction, sales forecasting, and user journey models using behavioral data.
  
• Skilled in data prediction and trend analysis, with the ability to understand model needs and their connection to business impact.
  
• Hands-on experience with Databricks, Snowflake, and/or AWS SageMaker.
  
• Solid experience in performance optimization and model monitoring in production environments.
  
• Comfortable working with and enhancing existing models and building them from scratch.