Sr. Machine Learning Engineer

We are seeking an experienced Senior Machine Learning Engineer to design, develop, and deploy scalable ML solutions in production environments.

Requirements

• Architect, build, and deploy end-to-end ML pipelines for production workloads.
• Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow.
• Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like Cloud Composer (Airflow) on Cloud Environments (AWS, Azure, GCP)
• Integrate ML solutions with data warehouses like Snowflake, DataBricks or BigQuery for training and inference at scale.
• Collaborate with cross-functional teams to define requirements and deliver impactful AI features.
• Ensure CI/CD best practices for ML deployments, including monitoring, versioning, and rollback strategies.
• Optimize model performance and system efficiency to meet production level SLAs.

Benefits

• Competitive salary
• Opportunities for career growth and continuous learning.