to join our Technology team in Bengaluru! At F-Secure, were 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.

Were 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

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:

Youll work on real-world models that have actual impact on cybersecurity
Youll learn how ML systems operate under challenging conditions with real performance requirements
Youll collaborate with experienced data scientists and security researchers who can mentor your growth
Youll see the direct impact of your work on protecting users worldwide
Youll 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.

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Machine Learning Engineer (Data)

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About the role

Machine Learning Engineers

The Technical Challenge

What Makes This Role Great for Growth

What are we looking for?

ML Pipeline Knowledge:

Cloud & Infrastructure Skills:

Model Evaluation Understanding:

LLM Awareness:

Engineering Fundamentals:

More Jobs at Fsecure Corporation