ML ENGINEER

Job Description

We are looking for a skilled ML Engineer with 3+ years of experience to join our team. The ideal candidate should have strong expertise in MLOps, DevOps, and hands-on experience with Databricks. You will be responsible for building scalable ML pipelines, deploying models in production, and collaborating with cross-functional teams to deliver end-to-end machine learning solutions.

Key Skills Required

MLOps and CI/CD for ML pipelines

DevOps tools (Docker, Kubernetes, Jenkins, etc.)

Experience with Databricks & cloud platforms (AWS/Azure/GCP)

Strong programming skills in Python

Knowledge of model versioning, monitoring, and deployment

Good To Have

Experience with ML model development and data engineering

Familiarity with Apache Spark

Skills: ml,azure,deployment,devops,python,mlops,model versioning,docker,kubernetes,monitoring,jenkins,databri