Hiring an AWS Data Scientist (L3) for a 1-year contractual engagement based in Noida. This is a work-from-office role and we are looking for immediate joiners or candidates on a short notice period only.

Role & responsibilities:
Build, train, tune and deploy machine learning models on AWS, with Amazon SageMaker as the primary platform.
Develop production-grade Python code for data processing, feature engineering and model pipelines.
Work across the AWS data stack - S3, Glue, Athena, Redshift, Lambda, Step Functions and CloudWatch - to build and maintain data lake and ML workflows.
Own MLOps practices end to end: CI/CD for models, versioning, monitoring, retraining and model deployment at scale.
Build GenAI solutions using Amazon Bedrock, LLMs and RAG architectures.
Containerise and orchestrate workloads using Docker and Kubernetes; manage infrastructure as code with Terraform.
Partner with data engineering,



product and business teams to translate requirements into deployable ML solutions.
Present findings and model performance through Power BI or QuickSight dashboards where required.

Preferred candidate profile
10+ years of overall experience in data science and machine learning.
Solid, hands-on AWS experience with Amazon SageMaker. Both are mandatory for this role.
Solid Python programming skills. This is mandatory.
Proven experience with data lakes, MLOps and production model deployment.
Exposure to GenAI, Bedrock, LLMs and RAG-based solutions.
Working knowledge of Docker, Kubernetes, Terraform, GitHub and CI/CD pipelines.
Any graduate. Candidates must be based in or willing to work from Noida.
Immediate joiners or candidates serving a short notice period will be strongly preferred.

📌 Aws Data Scientist Noida
🏢 Arborvitae.in
📍 Noida