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Gartner for HR
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Software Engineer (ML Ops, Python & Pyspark)

Software Engineer (ML Ops, Python & Pyspark)

Gartner for HR

2 - 4 years

4 - 6 Lacs

Gurugram

Posted:2 weeks ago| Platform:

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Skills Required

spark Machine learning Agile Data quality Troubleshooting AWS Recruitment Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Gartner is seeking a talented and passionate MLOps Engineer to join our growing team. In this role, you will be responsible for building Python and Spark-based ML solutions that ensure the reliability and efficiency of our machine learning systems in production. You will collaborate closely with data scientists to operationalize existing models and optimize our MLOps workflows. Your expertise in Python, Spark, model inferencing, and AWS services will be crucial in driving our data-driven initiatives.

What you'll do:

Develop ML inferencing and data pipelines with AWS tools (S3, EMR, Glue, Athena).
Deploy and optimize ML models on SageMaker and EKS
Implement IaC with Terraform and CI/CD for seamless deployments.
Ensure data quality, pipeline reliability, and performance.
Collaborate with product manager, data scientists and engineers for smooth operations.
Communicate technical insights clearly and support production troubleshooting.

Must have:

bachelors or masters degree in Computer Science, Engineering, or a related field.
2-4 years of experience building data and MLOPS pipelines using Python and Spark.
Strong proficiency in Python and Spark.
Hands-on experience with a wide range of AWS services for Big Data and MLOps, including but not limited to S3, Glue, Athena, SageMaker, Lambda, Step Functions, EMR, Kinesis
Experience with Docker; Kubernetes (EKS) experience is a significant plus.
Experience with CloudFormation or Terraform for deploying and managing AWS resources.
Strong problem-solving and analytical skills.
Ability to work effectively within a agile environment.

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Software Engineer (ML Ops, Python & Pyspark)