Senior GenAI Data Scientist - AWS SageMaker & LLMs

Tymblhub; Hinoba-an; Hybrid; PHP 979,000 - 1,101,000; Full time

Job summary

V2 Solutions is seeking an AWS SageMaker ML and Gen AI Engineer role for 6-12 month projects with 5+ years of ML engineering experience. The senior lead data scientist will design, develop, and deploy Gen AI, LLMs, and NLP solutions using AWS SageMaker and Bedrock, collaborating across Data Science and DevOps teams.

Key responsibilities include model development, fine-tuning, deployment, and monitoring using CloudWatch, with a hybrid work model in Bangalore/Hyderabad.

Qualifications

• 4+ years of experience in ML engineering with Gen AI, LLMs, and NLP.

Responsibilities

• Model Development: Build, train, and fine-tune Gen AI, LLMs, and traditional AI models using AWS SageMaker and AWS Bedrock.
• Fine-Tuning & Customization: Fine-tune pre-trained LLMs.
• Experience: 4+ years of experience in machine learning engineering, with expertise in Gen AI, LLMs, traditional AI, deep learning, and NLP.
• 6+ Hands-on experience with AWS DevOps and AWS Bedrock for training, fine-tuning, and deploying AI models.
• Experience with open-source LLMs (e.g., LLaMA) or Bedrock-hosted models (e.g., Titan, Claude).
• Experience with AWS Dev Ops, CI/CD integration.
• Kubernetes, Docker
• Experience in Creating ML Flows using AWS Sagemaker
• Experience in using ML Models monitoring using CloudWatch
• Experience in working with GEN AI, Langchain, Open AI Models and deployment of GEN AI models using AWS Sagemaker
• Experience in Deploying ML models using AWS SageMaker ML workflow orchestration and enabling CI/CD integration
• Experience with AWS services (e.g., S3, Lambda, Step Functions, Comprehend) and cloud architecture.
• Soft Skills: Strong problem-solving and analytical skills. Excellent communication to convey complex AI/NLP concepts to non-technical stakeholders.
• Ability to thrive in collaborative, fast-paced environments.
• Mandatory Skills AWS Sagemaker Professional with ML, NLP, GEN AI and Dev Ops experience.

Skills

Gen AI

LLMs

NLP

Python

AWS SageMaker

AWS Bedrock

DevOps

CI/CD

Kubernetes

Docker

Langchain

OpenAI Models

Tools

AWS SageMaker

AWS Bedrock

Docker

Kubernetes

CI/CD

CloudWatch

S3

Job description

V2 Solutions is seeking an AWS SageMaker ML and Gen AI Engineer role for 6-12 month projects with 5+ years of ML engineering experience. The senior lead data scientist will design, develop, and deploy Gen AI, LLMs, and NLP solutions using AWS SageMaker and Bedrock, collaborating across Data Science and DevOps teams.

Key responsibilities include model development, fine-tuning, deployment, and monitoring using CloudWatch, with a hybrid work model in Bangalore/Hyderabad.