I'm interested

Applications are considered on a rolling basis
Bengaluru
Hybrid

Job Description

For over 35 years, F-Secure has led the cybersecurity industry with our 200+ service provider partners. As the home of scam protection, we're reimagining how we protect people from modern threats through cutting-edge scam detection and solutions that are setting the industry standard.

We bring together the sharpest minds of cyber security with a shared purpose: to protect people from up-to-date threats. Here, you’ll have a real impact, making every digital moment more secure for everyone. You’ll thrive and grow in our Fellowship culture, where we dream big, trust, and challenge each other to deliver results and move with speed. You’ll be welcomed into a diverse, global team with an informal and collaborative culture where your voice truly matters.

Join us in securing the digital world together – where your work will make a lasting impact.





We're looking for an MLOps Engineer to join the Scam Decipherers team — the builders behind F-Secure's multi-modal AI platform for real-time scam detection. Our platform operates across SMS, messaging apps, and social media in multiple languages, and sits at the intersection of cybersecurity and applied AI.

We run production LLM and computer vision pipelines on AWS (Bedrock, SageMaker, Lambda) across multiple regions, protecting millions of users from scams and fraud at global scale. This is not a research team — we ship to production, operate at sub-second latency, and own our systems end to end.

As the MLOps Engineer on this team, you'll own the reliability, scalability, and observability of our AI/ML systems — from model deployment and versioning to inference monitoring and cost optimisation. You'll be working at the frontier of LLM and computer vision deployment in a domain where what you build has a direct, measurable impact on people's digital safety.

This position is based in Bengaluru, India, and offers hybrid working flexibi

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