Data Scientist

Role Overview: ThreatXIntel, a Cybersecurity, IT Staffing, and Consulting company, is seeking Senior Data Scientists with expertise in Generative AI, Machine Learning, and Production ML systems. The ideal candidate should be a deep-tech professional with experience in LLMs, RAG, NLP, and end-to-end ML lifecycle, capable of customer-facing and team leadership roles. This position is for Chennai-based candidates who can join immediately. Key Responsibilities: - Design and build solutions using LLMs, VLMs, and RAG architectures - Develop Agentic AI systems and intelligent workflows - Work across the full ML lifecycle: data preprocessing, modeling, deployment - 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 - Build and deploy ML models using FastAPI/Flask on AWS/Azure - Implement CI/CD pipelines, Docker-based deployments - Ensure production-grade ML systems - Work with Azure, ADF, Databricks for data pipelines - Collaborate with stakeholders to translate business problems into AI solutions - Lead teams and mentor junior data scientists Qualification Required: - Strong experience in customer-facing roles and team handling - Excellent communication skills - Hands-on experience across end-to-end ML lifecycle - Ability to work in a fast-paced environment Note: No additional details of the company were provided in the job description. Role Overview: ThreatXIntel, a Cybersecurity, IT Staffing, and Consulting company, is seeking Senior Data Scientists with expertise in Generative AI, Machine Learning, and Production ML systems. The ideal candidate should be a deep-tech professional with experience in LLMs, RAG, NLP, and end-to-end ML lifecycle, capable of customer-facing and team leadership roles. This position is for Chennai-based candidates who can join immediately. Key Responsibilities: - Design and build solutions using LLMs, VLMs, and RAG architectures - Develop Agentic AI systems and intelligent workflows - Work across the full ML lifecycle: data preprocessing, modeling, deployment - 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 - Build and deploy ML models using FastAPI/Flask on AWS/Azure - Implement CI/CD pipelines, Docker-based deployments - Ensure production-grade ML systems - Work with Azure, ADF, Databricks for data pipelines - Collaborate with stakeholders to translate business problems into AI solutions - Lead teams and mentor junior data scientists Qualification Required: - Strong experience in customer-facing roles and team handling - Excellent communication skills - Hands-on experience across end-to-end ML lifecycle - Ability to work in a fast-paced environment Note: No additional details of the company were provided in the job description.