MLOPS ENGINEER @ TALENTQUELL
We are seeking a highly skilled MLOps Engineer to spearhead our cross-cloud machine learning model migration initiatives, specifically moving from GCP to Azure Databricks. The successful candidate will be responsible for building and optimizing production-grade MLOps workflows and CI/CD pipelines while implementing MLflow for meticulous model tracking and lifecycle management. You will develop scalable pipelines using Databricks and PySpark, ensuring seamless data movement and high model reliability. The budget for this position is ₹1.4 LPM.
In this role, you will also focus on performance and cost optimization of machine learning infrastructures. You will work closely with Data Science teams to enable efficient model deployment and monitoring across cloud environments. This position operates on a UK time shift (8 AM – 5 PM) and offers a remote working arrangement within India. Candidates should have a strong foundation in data engineering and pipeline orchestration to succeed in this dynamic environment.