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 modern 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.
Are you passionate about building and deploying machine learning solutions that protect millions of users from cyber threats? We're looking for an ML Engineer (Data) to join our team and play a pivotal role in developing, analyzing, and deploying machine learning models that power our cybersecurity products.
In this role, you'll work at the intersection of data science and engineering, developing both classical machine learning models and modern deep learning solutions. You'll be responsible for the full lifecycle of ML systems—from analysis and development to production deployment with robust MLOps practices. Working with Large Language Models (LLMs), you'll fine-tune and integrate cutting-edge AI to meet specific product requirements while optimizing for performance and scalability.
You'll collaborate with data scientists, engineers, and product teams across our global organization, delivering end-to-end ML solutions that make a real difference in protecting people online. This is an opportunity to apply your skills in statistics, model development, and deployment to challenging cybersecurity problems with meaningful impact.
This position is based in Bengaluru, India, and offers hybrid working flexibility.
Key responsibilities in this role:
- Perform in-depth analysis of data and machine learning models to identify insights and areas of improvement
- Develop and implement models using both classical machine learning techniques and modern deep learning approaches
- Deploy machine learning models into production, ensuring robust MLOps practices including CI/CD pipelines, model monitoring, and drift detection
- Conduct fine-tuning and integrate Large Language Models (LLMs) to meet specific business or product requirements
- Optimize models for performance and latency, including the implementation of caching strategies where appropriate
- Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end ML solutions
What are we looking for?
- 3 - 5 years of experience in machine learning model development and analysis using classical and neural network-based approaches
- Strong track record of utilizing various statistical techniques to derive important insights and trends
- Solid understanding of statistics, data preprocessing, and feature engineering
- Proficient in Python and popular ML libraries (scikit-learn, PyTorch, TensorFlow, etc.)
- Strong debugging and optimization skills for both training and inference pipelines
- Familiarity with data formats and processing tools (Pandas, Spark, Dask)
- Experience working with transformer-based models (e.g., BERT, GPT) and Hugging Face ecosystem
- Strong understanding of LLM architecture, usage, and fine-tuning techniques
- Full professional proficiency in English, as our organization's working language is English
You'll stand out if you have:
- Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, or similar)
- Experience with monitoring tools (Prometheus, Grafana, or custom solutions for ML metrics)
- Familiarity with cloud platforms (SageMaker, AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Hands-on experience with MLOps practices and tools for deployment, monitoring, and drift detection
- Exposure to distributed training and model parallelism techniques
- Prior experience in A/B testing ML models in production
What you will get from us?
- Welcome to the good side – the home of scam protection! Work with industry-leading experts defining the future of cybersecurity and scam protection
- Be an AI pioneer, not a follower. Access industry-leading tools like Claude and Claude Code, with full support to integrate AI into your daily work while others are still figuring out policies. We're not asking "if" but "how" AI transforms our work, positioning you at the forefront of the industry.
- Thrive in our Fellowship culture where we empower, trust, challenge, and support each other in doing our best work.
- Flexible work that works for you – hybrid and remote options with team-agreed ways of working.
- Inclusive environment with flat, approachable leadership in our diverse global community.
- Comprehensive global benefits including Employee Share Savings Plan (ESSP), Fellow Member of the Board opportunities, and Annual Protect & Educate paid volunteer day.
- Wellbeing support through personal coaching services and one hour per week for personal recharging.
- Continuous growth via F-Secure Academy, Leadership programs, AI training, mentoring, and dedicated Learning Week.
A security vetting will possibly be conducted for the selected candidate in accordance with our employment process.
