Data Scientist / Machine Learning Ops

Company Description

ThreatXIntel is a startup cyber security company specializing in customized, cost-effective solutions to address the unique challenges of businesses and organizations. The company offers a wide range of services, including cloud security, web and mobile security testing, cloud security assessment, and DevSecOps. With a proactive approach, ThreatXIntel continuously monitors and tests clients digital environments to identify and mitigate vulnerabilities. Driven by its mission, ThreatXIntel aims to deliver top-quality services that provide peace of mind, empowering clients to focus on growing their business.

Relevant Years of Technical Experience:5 to 15 years (In Data Science)

Target Date of Onboarding:27-Feb-26 (Fri)

Communication Skills:Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business.

Work Location:Permanent work location will be Chennai.

Work Mode:Work from Office (WFO). No work from home.

Work Days:Monday to Friday.

Nature of Employment:Permanent & full-time employment

Annual CTC:Best in the industry compensating expertise of technical skills.

Career Progression & Other Benefits:Continuous Learning & Development, Pay & Progress for Performance.

• Tech-Stack, Job Role & Required Technical Experience:Details below.

Role Overview

We are hiring experienced Data Scientists / ML Ops Engineers to design, build, deploy, and scale production-grade AI solutions. You'll work on real enterprise use cases involving data engineering, model deployment, orchestration, and cloud infrastructure.

This is a hands-on technical role requiring strong Python, data engineering, and MLOps fundamentals.

Key Responsibilities

• Build scalable data pipelines and ML workflows
• Develop RESTful APIs for model serving
• Perform data mining, processing, and feature engineering
• Design systems for performance, availability, and scalability
• Deploy ML solutions using Docker/Kubernetes
• Work with Big Data platforms and RDBMS
• Integrate CI/CD pipelines and orchestration frameworks
• Collaborate closely with cross-functional engineering teams

Required Technical Skills

Programming & Data

• Python (Pandas, NumPy, Flask, SQLAlchemy)
• Strong understanding of data structures & algorithms
• Data mining & data processing methodologies

Data Platforms

• SQL / PostgreSQL
• Hive / Spark / Databricks / Snowflake
  

MLOps / Engineering

• REST APIs
• Jenkins (CI/CD)
• Kafka or messaging frameworks
• Docker / Kubernetes / Docker Swarm
• Linux environments
  

Cloud & Collaboration

• Azure or any major cloud platform
• Git, Jira, Confluence