Data Science Lead

Valuelabs; Hyderabad; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Valuelabs in Hyderabad seeks a Senior AI/ML Leader with 10+ years in AI/ML, including at least 4 years in leadership. You will drive production-grade AI/ML systems deployed on AWS or Azure, design scalable architectures, and mentor a global team of data scientists and engineers.

You will work with BFS, Healthcare, Insurance, Publishing, and Enterprise Software clients, translating complex requirements into robust ML solutions, monitoring via MLOps tools, and advancing GenAI capabilities such as

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, ML, or related field.
• 10+ years of experience in AI/ML, with at least 4 years in a leadership role.
• Proven experience building and deploying production-grade AI/ML systems in cloud environments (AWS, Azure).

Responsibilities

• Lead AI/ML initiatives and architecture decisions.
• Oversee end-to-end deployment of AI/ML solutions on cloud platforms.
• Collaborate with global clients across BFS, Healthcare, Insurance, Publishing, or Enterprise Software.

Skills

Python

SQL

REST APIs

Git

Docker

Kubernetes

ML/DL/NLP/CV

MLOps tools

LLMs & GenAI

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI, ML, or related field

Tools

MLflow

Kubeflow

SageMaker

Databricks

CI/CD

Prometheus

Datadog

Job description

Role & responsibilities

Bachelors or Master's degree in Computer Science, Data Science, AI, Machine Learning, or related field.

• 10+ years of experience in AI/ML, with at least 4 years in a leadership role (e.g., AI/ML Lead, Principal Data Scientist, ML Architect).


• Proven experience building and deploying production-grade AI/ML systems in cloud environments (AWS, Azure).


• Deep expertise in:
  
  
  
  • Python, SQL, REST APIs, Git, Docker, Kubernetes
  
  
  • Machine Learning (Supervised/Unsupervised, Deep Learning, NLP, Computer Vision)
  
  
  • MLOps tools: MLflow, Kubeflow, SageMaker, Databricks, CI/CD, monitoring (Prometheus, Datadog)
  
  
  • LLMs & GenAI: Fine-tuning, prompt engineering, RAG, evaluation frameworks
  
  
  
  


• Experience working with global clients in BFS, Healthcare, Insurance, Publishing, or Enterprise Software.