Machine Learning Operations Engineer @ Opswat Kft.

OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.

At OPSWAT , we’re on a mission to protect the world’s most critical infrastructure. As a U.S.-based cybersecurity leader, we specialize in developing solutions for threat prevention and process creation for secure data transfer and safe device access. With our rapidly growing R&D presence in Hungary, we are expanding the team behind our  MetaDefender Sandbox .

The  MetaDefender Sandbox  is an advanced malware analysis solution that detects and analyzes zero-day and evasive threats using a combination of dynamic analysis, AI, and machine learning. It helps customers across the globe, including governments, financial institutions, and critical infrastructure operators, identify malicious behavior that traditional antivirus engines often miss. We are looking for a driven and passionate  Machine Learning Operations Engineer to join our international Sandbox team. You’ll collaborate with colleagues from Hungary, Vietnam, Spain, and Georgia, and contribute to building scalable, cloud-enabled, and on-premise threat detection solutions that make a real difference in the cybersecurity landscape.

Why You'll Love Working Here

• Stable, growing international company background with an exceptional customer group
• The newest technology environment
• Extra benefits – supported sport activities (kettlebell training and football), massage, language courses, equipped kitchen etc
• Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
• Regular team events and Happy Hour activities
• 3+ years of experience in MLOps, DevOps, or ML Engineering
• Strong programming skills in Python and Bash
• Experience with ML frameworks frameworks as training / serving (e.g., Ray, Sagemaker jobs)
• Knowledge of monitoring tools and best practices for production ML systems(eg :  Tensorboard, Datadog,Streamlit)
• Hands-on experience with CI / CD tools (e.g., GitHub Actions, Bitbucket pipelines, TeamCity)
• Proficiency with containerization and orchestration (Docker, Kubernetes)
• Experience with Cloud platforms (AWS, GCP, or Azure) and ML services (e.g., SageMaker, Vertex AI, MLflow, Kubeflow) and automation solutions (terraform / ansible / others)
• Knowledge of monitoring tools and best practices for production ML systems
• Solid understanding of the ML model lifecycle, versioning, and reproducibility
• Strong communication skills and the ability to work cross-functionally
• Experience with Linux systems
• Excellent troubleshooting skills and a commitment to document findings
• Cybersecurity background or understanding in the field is appreciated

OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.

At OPSWAT , we’re on a mission to protect the world’s most critical infrastructure. As a U.S.-based cybersecurity leader, we specialize in developing solutions for threat prevention and process creation for secure data transfer and safe device access. With our rapidly growing R&D presence in Hungary, we are expanding the team behind our  MetaDefender Sandbox .

The  MetaDefender Sandbox  is an advanced malware analysis solution that detects and analyzes zero-day and evasive threats using a combination of dynamic analysis, AI, and machine learning. It helps customers across the globe, including governments, financial institutions, and critical infrastructure operators, identify malicious behavior that traditional antivirus engines often miss. We are looking for a driven and passionate  Machine Learning Operations Engineer to join our international Sandbox team. You’ll collaborate with colleagues from Hungary, Vietnam, Spain, and Georgia, and contribute to building scalable, cloud-enabled, and on-premise threat detection solutions that make a real difference in the cybersecurity landscape.

Why You'll Love Working Here

,[Build and maintain robust CI / CD pipelines for ML models and data workflows, Automate and manage the end-to-end lifecycle of machine learning models, from training to deployment and monitoring, Develop infrastructure to support scalable, reproducible model training and serving in Cloud or on-premise environments, Monitor model performance in production, detect model / data drift, and implement alerting systems, Collaborate with Data Scientists and DevOps Engineers to operationalize ML models and integrate them into products, Drive Infrastructure-as-Code (IaC) and DevOps best practices in ML environments, Identify and troubleshoot production issues with ML models, Collaborate with cross-functional and product teams to identify, develop, and test out new ideas, Build and nourish a culture of data-driven decision making, influencing the mindset of colleagues and management as well] Requirements : Python, Bash, Tensorboard, Bitbucket, GitHub Actions, TeamCity, Docker, Kubernetes, AWS, GCP, Linux, Cybersecurity Tools : . Additionally : Private healthcare, Stock options, Szemüvegtámogatás, Sportolási lehetőség, Cafeteria, Ingyenes angol nyelvi kurzus, Utazási költségtérítés, Free coffee, Bike parking, Shower, Free snacks, Free beverages, Free parking, In-house trainings, Modern office, No dress code.