Job Description

We are looking for professionals with 5+ years of experience in building scalable ML pipelines, deploying models, and managing the end-to-end ML lifecycle. Strong expertise in Python, ML frameworks, cloud platforms, and MLOps tools is essential.

Responsibilities

Design and build scalable data pipelines and ML infrastructure Deploy and productionize machine learning models Develop scalable tools for ML training and inference Implement CI/CD pipelines and automation for ML workflows Ensure model versioning, auditability, and data security Support end-to-end model development and PoC deployments Evaluate new technologies to improve system performance and reliability Collaborate with clients to gather requirements and track progress

Requirements

Certified Machine Learning Specialty Google Professional Machine Learning Engineer Azure AI Engineer Associate Databricks / MLflow Certifications (Good to have)