Senior Data Scientist – GenAI / AI/ML

Company Description

ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. Our services include cloud security, web and mobile application security testing, DevSecOps, vulnerability assessments, IT consulting, and professional staffing services.

We support global corporate clients by hiring and deploying skilled professionals across IT and cybersecurity domains while helping organizations strengthen security, optimize operations, and scale efficiently. ThreatXIntel is committed to enabling business growth through secure, reliable, and high-quality technology solutions.

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