AI / ML Engineer II (P2)
Nielsen (company site, opens in a new tab)3–6 yrsBengaluruOn-siteDirect career pageEst. 15–28 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build, train, and deploy end-to-end machine learning models independently on complex projects.
- Manage and configure AWS infrastructure for ML workflows including VPC, EC2, EKS, EMR, S3, and RDS.
- Design robust ML pipelines from data processing to model serving and collaborate across teams to translate business needs into technical solutions.
Minimum Requirements
- Bachelor's or Master's degree in Engineering, Mathematics, Statistics, or related field.
- 3-6 years professional experience in machine learning engineering with production ML model deployment.
- Proficiency with Python, SQL, and distributed computing frameworks like Spark.
- Practical experience with AWS services specifically VPC, EC2, EMR, RDS, S3, and EKS for ML workloads.
Ideal Candidate Profile
- Experienced working autonomously on complex ML projects and designing scalable ML system architectures.
- Hands-on with modern AI frameworks and techniques including LLMs or Generative AI.
- Skilled in end-to-end ML pipeline design, AWS infrastructure management, and cross-functional collaboration.