Job Description

Hybrid Work Mode

Location: Whitefield, Bengaluru

Key responsibilities:

You'll grow your skills by working on exciting challenges that combine software engineering and machine learning as part of our internal team, the Scam Decipherers. (If you're detail-oriented, include the phrase "Scam Decipherers assemble!" in your cover letter - we use it to spot sharp minds.): ML Pipeline Development: Contribute to building and maintaining ML pipelines that detect sophisticated threats in real-world environments Threat Intelligence Systems: Help develop systems that analyse large volumes of online queries, behavioural events, and suspicious files Model Monitoring: Implement frameworks for evaluating model performance and identifying when models need retraining LLM Implementation: Gain hands-on experience deploying and optimizing LLMs for security applications like threat intelligence analysis and phishing detection

What we are looking for:

ML Pipeline Knowledge: Model Evaluation Understanding: Knowledge of common ML evaluation metrics and what they indicate Ability to interpret model performance reports Interest in learning how to detect and address model drift LLM Awareness: Basic understanding of how LLMs work and their applications Familiarity with concepts like prompt engineering Eagerness to learn about LLM deployment in production Engineering Fundamentals: Solid Python programming skills Experience with version control systems (Git) Understanding of basic CI/CD concepts Willingness to learn best practices for production code Understanding of ML workflows and how they operate in production environments Familiarity with the challenges of deploying ML models (even if from coursework or personal projects) Basic knowledge of how to monitor ML systems Cloud & Infrastructure Skills: Experience with cloud platforms (AWS, Azure, GCP) - even from academic or personal projects Understanding of containerization concepts (Docker) Enthusiasm for infrastructure as code approaches

What Makes This Role Great for Growth

This role at F-Secure offers unique advantages for developing your MLOps skills:

You'll work on real-world models that have actual impact on cybersecurity

You'll learn how ML systems operate under challenging conditions with real performance requirements

You'll collaborate with experienced data scientists and security researchers who can mentor your growth

You'll see the direct impact of your work on protecting users worldwide

You'll develop specialized knowledge in applying AI to cybersecurity - an increasingly valuable skill set

Job Type: Full-time

Pay: ₹2,000,000.00 - ?3,000,000.00 per year

Benefits:

Cell phone reimbursement Health insurance Provident Fund Work from home
Schedule:

Day shift Monday to Friday
Application Question(s):

What is your Current Notice Period? What is your Current CTC?
Work Location: In person