𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 / 𝐌𝐋𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫

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)