MLOps Engineer

Job Title: MLOps Engineer
Experience: 8–12 Years
Location: Noida, Uttar Pradesh (Onsite, 5 Days)
Notice Period: Max 30 Days
Company Type: Global AdTech Product Company
Employment Type: Full-time, Permanent

Job Summary:
We are seeking a Senior MLOps Engineer experienced in building, automating, and scaling production-grade ML platforms and pipelines. The ideal candidate has strong hands-on expertise across AWS, Apache Airflow/MWAA, Apache Spark, Python, and distributed workflows.

Key Responsibilities:

• Build and automate ML pipelines and workflows for production
• Design and manage distributed computation using Apache Spark (EMR/Glue)
• Operationalize ML models in collaboration with data science teams
• Deploy and manage ML workloads using AWS services including EKS/ECS/Fargate
• Ensure observability via CloudWatch and related monitoring stacks

Mandatory Requirements:

• 8+ years in DevOps with 4+ years MLOps / ML production deployments
• 4+ years Apache Airflow / MWAA for workflow orchestration
• 4+ years Apache Spark (EMR/Glue) for distributed processing
• Strong AWS experience: EKS/ECS/Fargate, S3, Athena/Redshift, Lambda, Kinesis, CloudWatch
• Strong Python for automation and pipeline development
• Recent experience working hands-on in AWS cloud environments
• Product company experience preferred (service acceptable only with strong MLOps depth)

Education:
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Engineering, or related field

Job Type: Full-time

Pay: Up to ₹8,000,000.00 per year

Experience:

• DevOps: 8 years (Required)
• MLOps / ML production deployments: 4 years (Required)

Work Location: In person