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.
- Strong 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