Position:
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Machine Learning Engineer
Company:
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F-Secure
Location:
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Bengaluru, India
Job type:
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Full-time
Job mode:
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Hybrid
Job requisition id:
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Not explicitly mentioned, but from the URL it appears to be 289379
Years of experience:
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Not explicitly mentioned; as per JD looks like a fresher entry level position; 0-3 years
Company description:
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With a legacy spanning over 35 years, F-Secure has firmly established itself as a trusted name in the cybersecurity space, protecting millions globally.
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The organization has cultivated an extensive network of 200+ service provider partners who help extend its reach and impact.
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Originating in Finland, F-Secure now has offices and operational bases across Europe, North America, and the Asia Pacific region.
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Its core value lies in celebrating individuality and diversity, recognizing that innovation is best fostered in inclusive environments.
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Employees, known as Fellows, are encouraged to bring their authentic selves to work—F-Secure views each individual’s uniqueness as their greatest contribution.
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The company’s longstanding mission has always revolved around making every digital moment safe, seamless, and secure for everyone.
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Today, F-Secure is a growing, consumer-focused organization driven by innovation and excellence in online protection.
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Its vibrant global culture combines a small-company feel with the strategic depth of a seasoned international player.
Profile overview:
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The Machine Learning Engineer (Data) role offers a unique opportunity to build AI-powered defenses against cyber threats that evolve rapidly.
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The selected individual will become an integral part of the technology team based in Bengaluru, India, focusing on developing robust models that protect end users worldwide.
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This role blends analytical depth with advanced engineering skills, as it involves implementing machine learning and deep learning solutions tailored to security applications.
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Engineers are expected to work on real-world cybersecurity issues, engaging with large-scale and often noisy data to develop high-impact ML models.
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The role entails contributing to the development, deployment, and optimization of machine learning systems that form the backbone of F-Secure's AI capabilities.
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The team values innovation, attention to detail, and continuous learning, offering an environment where professionals can grow while working on mission-critical projects.
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Candidates can choose to work from the Bengaluru office or operate in hybrid mode, maintaining flexibility while occasionally participating in team gatherings.
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This position is ideal for candidates who are excited by the challenge of securing digital environments through intelligent, data-driven technologies.
Key Responsibilities:
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Conduct comprehensive data analysis to extract meaningful insights and detect potential areas for improvement in existing models.
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Design and implement machine learning models utilizing both classical statistical approaches and modern deep learning techniques.
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Ensure smooth deployment of ML models into production environments by applying best practices in MLOps.
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Establish continuous integration and delivery (CI/CD) pipelines to streamline model updates and performance tracking.
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Fine-tune and integrate Large Language Models (LLMs) to meet the organization’s security-oriented use cases.
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Work on optimizing model performance, including latency tuning and implementation of caching strategies where necessary.
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Collaborate across disciplines with data scientists, backend engineers, and product managers to deliver full-stack machine learning solutions.
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Participate in iterative improvements of model performance, explainability, and adaptability in dynamic threat landscapes.
Qualifications:
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Demonstrated experience in leveraging statistical methods for identifying patterns, insights, and trends within complex data sets.
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Strong foundation in both classical machine learning and neural network-based model development.
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In-depth understanding of LLM architectures, capabilities, and fine-tuning mechanisms, especially in security-focused applications.
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Adept in data preprocessing and feature engineering for structured and unstructured data types.
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Excellent coding proficiency in Python, with familiarity across leading ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
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Proven ability to optimize both training and inference phases of ML pipelines to boost overall efficiency.
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Familiar with processing tools and formats like Pandas for tabular data, Spark for big data, and Dask for parallel computing.
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Hands-on experience with transformer models (like BERT or GPT) and tools within the Hugging Face ecosystem.
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Strong debugging skills and the ability to resolve performance bottlenecks in end-to-end ML workflows.
Additional info:
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Familiarity with MLOps platforms such as MLflow, Kubeflow, or Amazon SageMaker is considered a valuable asset.
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Experience with monitoring solutions including Prometheus or Grafana for tracking ML metrics in live environments.
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Understanding of cloud services (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) supports efficient deployment.
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Experience with scalable distributed training and advanced model parallelism methods can enhance performance and model handling.
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Exposure to running A/B testing for ML models in production helps with decision-making and model validation.
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Security vetting might be part of the hiring process in accordance with F-Secure’s standard employment procedures.
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The company provides opportunities to work with highly experienced professionals in the field of cybersecurity.
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Employees are encouraged to shape their roles by setting personal priorities and organizing their work for mutual benefit.
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Benefits include a competitive compensation package, professional development opportunities, and international collaboration.
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F-Secure's culture is supportive, agile, and adaptive, offering room for innovation and ownership over one’s work.
Work Culture:
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F-Secure’s workplace thrives on collaboration, mutual respect, and a shared sense of purpose.
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Team members are seen as “Fellows,” emphasizing a sense of belonging and collective accountability.
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The culture revolves around four key values:
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Keep Focus: Work with purpose, clarity, and quality-driven execution.
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I Make a Difference: Take ownership, support peers, and recognize your impact.
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Just Do It: Empowered decision-making and action-oriented mindset.
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Dare to Care: Foster trust, open communication, and constructive feedback.
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The environment is inclusive, transparent, and encourages speaking up on issues that matter.
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F-Secure promotes flexibility, valuing both professional excellence and individual well-being.
Life at F-Secure:
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Employees regularly highlight the meaningful nature of their work in cybersecurity, citing real-world impact as a key motivator.
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The organization provides consistent opportunities for upskilling and learning, with exposure to cutting-edge tech and global projects.
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There’s a palpable sense of camaraderie, with many employees describing the work culture as respectful, diverse, and intellectually stimulating.
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Whether you're a UX designer, researcher, or cloud developer, you'll find collaborative, passionate teammates who make work enjoyable.
Global Presence and Legacy:
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F-Secure began its journey in 1988 under the name Data Fellows, evolving steadily into a cybersecurity pioneer.
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In 1992, it responded to the first public scare around computer viruses, shaping its early mission.
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It was among the first to develop antivirus tools for mobile phones in 2002 and later, in 2004, launched a widely read antivirus industry blog.
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The organization made its foray into the cloud in 2009 and emphasized its leadership role in European cybersecurity in 2015.
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F-Secure expanded through acquisitions, such as MWR InfoSecurity in 2018, reinforcing its technical depth.
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In 2022, F-Secure underwent a strategic de-merger, becoming a dynamic, consumer-focused, partner-driven entity, maintaining profitability and a strong market presence.
Diversity & Inclusion:
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F-Secure champions equality and fair treatment throughout its hiring processes.
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The company does not discriminate based on nationality, race, ethnicity, gender, religion, age, disability, or marital status.
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Support is available for candidates who may need accommodations during the application or interview process.
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Diversity is not only embraced but seen as a strategic enabler for innovation and long-term growth.
Please click here to apply.
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