Description

You will build, deploy, and maintain machine learning models and MLOps pipelines using Python and cloud platforms.

This role is on-site.

Responsibilities

• Develop and deploy predictive models for classification, regression, clustering, and forecasting tasks.
• Build scalable ML pipelines for training, evaluation, and production deployment using MLOps practices.
• Analyze complex datasets to extract actionable insights and interpret model outputs for stakeholders.
• Implement model monitoring, versioning, and retraining strategies to ensure reliability and performance.
• Collaborate with cross-functional teams to define use cases and document methodologies and results.

Required Skills

• 6+ years of experience in AI/ML model development and deployment.
• Strong proficiency in Python for data manipulation, automation, and API integration.
• Hands-on experience with Google Cloud Vertex AI for scalable experimentation.
• Experience with Jenkins and CI/CD pipelines for ML workflows.
• Knowledge of MLOps practices including model lifecycle management.
• Familiarity with Snowflake or other cloud data warehouses.
• Ability to work on-site in Hyderabad, Telangana, India.

Preferred Skills

• Experience with AWS SageMaker or Azure ML.
• Strong documentation and reporting skills for technical methodologies.

Key Skills

Education

Any Graduate