MLOps Engineer

4 - 8 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

The role combines MLOps and data engineering to develop robust, reproducible, and automated pipelines supporting the full lifecycle of machine learning systems. You will be responsible for building ETL/ELT pipelines for data ingestion and transformation for ML training, automating model retraining, deployment, and monitoring processes. Additionally, you will enable data and model version control, integrate model logging, exception handling, and alerting systems, and ensure reproducibility, data lineage, and audit trails. The ideal candidate will have 3-6 years of experience in data engineering or MLOps workflows and proficiency in Airflow, DBT, Apache Kafka/Spark, SQL, and Python. Knowledge of Docker, Kubernetes, MLflow, and Prometheus/Grafana is also required. Experience with GCP BigQuery, S3, Redshift, and Snowflake would be a plus for this role.,

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