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2 Weeks ago

Machine Learning Engineer (ML Ops)

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Chennai, Tamil Nadu, India
Information Technology
Full-Time
Countercept

Overview

Job Description

F-Secure makes every digital moment more secure, for everyone. For over 35 years, we’ve led the cyber security industry, protecting tens of millions of people online together with our 200+ service provider partners. We value our Fellows' individuality, with an inclusive environment where diversity drives innovation and growth. What makes you unique is what we value – be yourself, that is (y)our greatest asset. Founded in Finland, F‑Secure has offices in Europe, North America and Asia Pacific.

About The Role

We are looking for Machine Learning Engineers to join our Technology team in Bengaluru! At F-Secure, we're building the next generation of AI-powered cybersecurity defenses that protect millions of users globally. Our ML models operate in dynamic environments where threat actors constantly evolve their techniques.

We're looking for a motivated MLOps Engineer who has the foundational knowledge to help transition ML models from research to production systems. This is an excellent opportunity to develop your skills in a real-world cybersecurity context with meaningful impact.

The Technical Challenge

Skills

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

This role will be located in Bengaluru, India. You can choose whether you work at our Bengaluru office, or in a hybrid mode from your home office. We hope you are able to join us for common gatherings at the Bengaluru office when needed.

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

What are we looking for?

  • ML Pipeline Knowledge: Understanding ML workflows, deployment challenges (through work, studies or personal projects), and basic knowledge on monitoring ML systems.
  • Cloud & Infrastructure Skills: Experience with cloud platforms through work, studies or personal projects (AWS, Azure, GCP), understanding of containerization concepts (Docker), and infrastructure as code approaches.
  • Model Evaluation Understanding: Knowledge of ML evaluation metrics, interpreting performance reports, and interest in learning how to detect and address model drift.
  • LLM Awareness: Basic understanding of LLMs, prompt engineering, and deployment in production.
  • Engineering Fundamentals: Solid Python skills, version control (Git), understanding of basic CI/CD concepts, and best practices for production code.

How To Apply

If you have a solid foundation in ML concepts and software engineering, with an eagerness to learn and grow in MLOps, we want to hear from you.

To Apply, Please Submit

  • Your resume highlighting relevant projects and any work experience
  • A detailed description of your experience with production ML systems - include specific examples of:
  • ML pipelines you've built or contributed to
    • Challenges you faced in production environments
    • How you monitored and improved model performance
    • Your role in the production deployment process
  • Links to any projects, code samples, or GitHub repositories (highly encouraged!)
What will you get from us?

  • You will work together with experienced and enthusiastic colleagues, and within F-Secure you will find some of the best minds in the cyber security industry.
  • We actively encourage our Fellows to grow and develop within F-Secure, and in your career here you can find yourself contributing to any number of our other products and teams. You decide what to make of this role, what your priorities are, and how you organize your work for the best benefit to us all.
  • We offer interesting challenges and a competitive compensation model with wide range of benefits. You get a chance to develop yourself professionally in an international and highly motivated team serving our customers in providing world class security, privacy and uncensored access to information online.
  • You get to work in a flexible, agile, and dynamic working environment that supports individual needs. Giving our people both support and the opportunity to be in charge of their own work is something that is in our DNA.
  • We are in a unique phase in our 30-year history and with curiosity and excitement in the air we see no limits for building a strong and fruitful career with us!

A security vetting will possibly be conducted for the selected candidate in accordance to our employment process.
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