Gartner Recruitment 2025 Hiring Associate Software Engineer
Gartner, a globally recognized leader in research and advisory services, has announced its Recruitment Drive 2025, inviting applications for the role of Associate Software Engineer. This is an excellent opportunity for fresh graduates and early-career professionals to be part of a high-impact technology team. As an Associate Software Engineer at Gartner, you’ll work on scalable platforms, develop robust software solutions, and collaborate with talented engineers to support Gartner’s mission of providing trusted insights to clients worldwide. If you are passionate about programming, eager to grow in a fast-paced tech environment, and looking to launch your software career with a Fortune 500 company, apply today.
Company Name: Gartner
Job Profile: Associate Software Engineer – ML
Degree Needed: B.E/B.Tech/M.E/M.Tech
Passout Year: 2024, 2025
Work Location: Gurgaon, India
Experience Level: 0 – 2 Years
About the Role:
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 ML workflows. Your expertise in Python, Spark, model inferencing, and AWS services will be crucial in driving our data-driven initiatives.
What you’ll need:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Qualifications:
- Bachelor’s degree or foreign equivalent degree in Computer Science or a related field required
- Excellent communication and prioritization skills.
- Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment.
- Owns success – Takes responsibility for successful delivery of the solutions.
- Strong desire to improve upon their skills in software testing and technologies
Requirements:
- 0-2 years of experience building data and MLOPS pipelines using Python and Spark.
- Strong proficiency in Python. Exposure to Spark is good to have.
- Hands-on experience Restful development using Python frameworks like Fast API and Django
- Experience with Docker and Kubernetes (EKS) or Sagemaker.
- 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.
Job Responsibilities:
- Develop ML inferencing  and data pipelines with AWS tools (S3, EMR, Glue, Athena).
- Python API development using Frameworks like FASTAPI and DJANGO
- Deploy and optimize ML models on SageMaker and EKS
- Implement IaC with Terraform and CI/CD for seamless deployments.
- Ensure quality, scalability and performance of API’s.
- Collaborate with product manager, data scientists and other engineers for smooth operations.
- Communicate technical insights clearly and support production troubleshooting when needed.
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