MLOps Engineer

Krish TechnoLabs

6 years

0 Lacs

Ahmedabad Gujarat India

Posted:1 day ago| Platform:

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Skills Required

data engineering support learning etl ml automate model deployment monitoring logging audit airflow apache kafka spark sql docker kubernetes mlflow gcp redshift

Work Mode

On-site

Job Type

Full Time

Job Description

This hybrid role combines MLOps and data engineering to build robust, reproducible, and automated pipelines that support the end-to-end lifecycle of machine learning systems.

What You’ll Be Doing

Build ETL/ELT pipelines to ingest and transform data for ML training
Automate model retraining, deployment, and monitoring processes
Enable data and model version control
Integrate model logging, exception handling, and alerting systems
Maintain reproducibility, data lineage, and audit trails

What We’d Love To See

3–6 years in data engineering or MLOps workflows
Airflow, DBT, Apache Kafka/Spark, SQL, Python
Docker, Kubernetes, MLflow, Prometheus/Grafana

It’d Be Great If You Had

GCP BigQuery, S3, Redshift, Snowflake

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