MLOps Engineer

Job Description:

We are looking for a passionate and experienced MLOps Engineer to join our growing team. The ideal candidate should have strong experience in managing the end-to-end machine learning lifecycle, developing data pipelines, and working with Google Cloud Platform (GCP) technologies.

Key Responsibilities:

• Manage and automate the ML model lifecycle – from development to deployment and monitoring.
• Build scalable data pipelines using Python and PySpark.
• Work with GCP services like BigQuery, Dataproc, and Cloud Composer (Airflow).
• Implement and maintain CI/CD pipelines for ML workflows.
• Collaborate with data scientists, engineers, and stakeholders to productionize ML models.

Mandatory Skills:

• MLOps & Model Lifecycle Management
• Python & PySpark
• GCP: BigQuery, Dataproc, Airflow (Cloud Composer)
• CI/CD for machine learning pipelines

Job Details:

• Experience: 3 to 5 Years
• Location: Hyderabad / Chennai
• Budget: ₹15–16 LPA
• Notice Period: Immediate Joiners Preferred
• Interview Rounds:
• 1 Internal Technical Round
• 1 Client Round (Face-to-Face mandatory)

Job Type:

• Full-time
• On-site/Hybrid (Face-to-Face interview required)

Job Type: Full-time

Pay: From ₹1,400,000.00 per year

Ability to commute/relocate:

• Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)

Experience:

• MLOps: 3 years (Required)
• GCP: 3 years (Required)

Location:

• Chennai, Tamil Nadu (Required)

Work Location: In person