Data Scientist – GenAI / AI/ML
ThreatXIntel
2 - 5 years
Chennai
Posted: 21/04/2026
Job Description
Company Description
ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions.
We are hiring for our corporate client. ThreatXIntel is the official hiring partner for this requirement.
Job Overview
We are hiring Senior Data Scientists with deep expertise in Generative AI, Machine Learning, and Production ML systems.
The ideal candidate should be a hardcore deep-tech professional with strong experience across LLMs, RAG, NLP, and end-to-end ML lifecycle, along with the ability to work in a customer-facing and team leadership role.
Key Responsibilities
AI/ML & GenAI Development
- Design and build solutions using LLMs, VLMs, and RAG architectures
- Develop Agentic AI systems and intelligent workflows
- Work across full ML lifecycle: data preprocessing modeling deployment
Machine Learning & Deep Learning
- Implement models using NLP, Transformers, and Computer Vision (CNNs)
- Work on predictive analytics, time series forecasting, and advanced ML use cases
- Optimize model performance and scalability
MLOps & Deployment
- Build and deploy ML models using FastAPI/Flask on AWS/Azure
- Implement CI/CD pipelines, Docker-based deployments
- Ensure production-grade ML systems
Data Engineering & Collaboration
- Work with Azure, ADF, Databricks for data pipelines
- Collaborate with stakeholders and translate business problems into AI solutions
- Lead teams and mentor junior data scientists
Required Skills
GenAI & AI/ML
- LLMs, VLMs, RAG
- Agentic AI Systems
- NLP, Transformers, Prompt Engineering
ML/DL Frameworks
- Python
- TensorFlow, PyTorch, Keras
MLOps & Deployment
- Docker, CI/CD
- FastAPI / Flask
- AWS / Azure
Data Engineering
- Azure Data Factory (ADF)
- Databricks
Additional Expertise
- Computer Vision (CNNs)
- Time Series Forecasting
Key Requirements
- Strong experience in customer-facing roles & team handling
- Excellent communication skills
- Hands-on experience across end-to-end ML lifecycle
- Ability to work in a fast-paced environment
Why Join
- Work on cutting-edge GenAI & LLM-based solutions
- High-impact, client-facing role
- Opportunity to build and scale production AI systems
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