AI Engineer; NLP​/ML

Position: AI Engineer (NLP / ML)
Company Description

Threat

XIntel is a cybersecurity startup specializing in protecting businesses and organizations from evolving cyber threats. The company offers a range of tailored, cost-effective services, including cloud security, web and mobile security testing, and Dev Sec Ops , designed to meet the specific needs of their diverse clientele. With a mission to provide peace of mind to businesses, Threat

XIntel employs a proactive approach to continuously monitor and assess vulnerabilities in digital environments before they can be exploited. The organization is dedicated to ensuring that every business, regardless of size, has access to high-quality cybersecurity solutions to protect their digital assets and support their growth.

Role Description

We are seeking an experienced AI Engineer to design, train, and deploy AI/ML models that support decision-making and process automation within the Retirement Solutions ecosystem. The role involves working on NLP, predictive analytics, and data-driven automation while integrating AI capabilities into existing .NET and Sigma-based applications.

This is an onsite contract role in Chennai, requiring close collaboration with innovation teams, developers, and business stakeholders.

Key Responsibilities

- Design, develop, and deploy AI/ML models focused on NLP, predictive analytics, and automation use cases
- Analyze structured and unstructured data to extract insights and improve business processes
- Build and maintain ML pipelines and APIs for model deployment and integration
- Collaborate with Innovation Leads and Developers to integrate AI models with .NET/Sigma systems
- Perform feature engineering, model tuning, and performance optimization
- Evaluate model accuracy, monitor performance, and retrain models as needed
- Create data visualizations and reports to present model insights and outcomes
- Work with SQL and data integration tools to manage and prepare data for AI solutions

Required Skills

- 5+ years of hands-on experience in AI/ML development
- Strong expertise in Python and ML frameworks such as Tensor Flow or Py Torch

- Experience with NLP frameworks/tools such as spaCy, Hugging Face, or OpenAI APIs
- Experience in feature engineering, model training, and deployment pipelines
- Knowledge of SQL and data processing/integration tools (ADF, Databricks preferred)

- Experience with data visualization tools and techniques
- Understanding of financial/retirement domain data (added advantage)