The Position
At OPSWATs Technology Development Centre in Veszprém we are looking for talented Machine Learning Operations Engineers to join our teams developing and deploying advanced AI-driven cybersecurity solutions that protect critical infrastructure across the globe. If you are knowledgeable creative and passionate about building reliable scalable and efficient ML pipelines and infrastructure - enabling data scientists to deliver innovative models seamlessly into production - then you could be exactly who were looking for!
In Veszprém in the heart of a peaceful friendly historic city we have created a modern inspiring office environment that encourages collaboration where friendly direct relationships between colleagues and high-quality professional work are equally modern innovative technologies we work on products that truly contribute to making our world safer at one of the worlds leading cybersecurity companies. We support professional development through training mentoring and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism a modern environment friendly people and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person then OPSWAT Veszprém is the place for you.
At OPSWAT we believe that great talent is always worth getting to know even when there are no current vacancies. Our Evergreen Machine Learning Operations Engineer position offers continuously open opportunities for enthusiastic and motivated professionals who may join us in the future. It is not tied to a specific vacancy but it enables us to get to know you and stay in touch so that when a new opportunity arises you could be among the first people we reach out to.
If youre interested in working as a Machine Learning Operations Engineer at OPSWAT please apply and we will get in touch!
You Will Have the Opportunity to
- 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
What We Are Looking For
- 3 years of experience in MLOps DevOps or ML Engineering
- Strong programming skills in Python and Bash
- Experience with ML frameworks astraining/serving()
- KnowledgeofmonitoringtoolsandbestpracticesforproductionMLsystems(eg:TensorboardDatadogStreamlit)
- 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
Why Youll Love Working Here
- Stable growing international company background with an exceptional customer group
- Opportunity to improve your professional skills
- The newest technology environment
- Language course and opportunity for active recreation kettlebell football and office massage
- Attractive working environment nice office full of accessories (fruits every day coffee breakfast tea etc.)
- Regular team events and Happy Hour activities
Required Experience:
IC
The PositionAt OPSWATs Technology Development Centre in Veszprém we are looking for talented Machine Learning Operations Engineers to join our teams developing and deploying advanced AI-driven cybersecurity solutions that protect critical infrastructure across the globe. If you are knowledgeable cre...
The Position
At OPSWATs Technology Development Centre in Veszprém we are looking for talented Machine Learning Operations Engineers to join our teams developing and deploying advanced AI-driven cybersecurity solutions that protect critical infrastructure across the globe. If you are knowledgeable creative and passionate about building reliable scalable and efficient ML pipelines and infrastructure - enabling data scientists to deliver innovative models seamlessly into production - then you could be exactly who were looking for!
In Veszprém in the heart of a peaceful friendly historic city we have created a modern inspiring office environment that encourages collaboration where friendly direct relationships between colleagues and high-quality professional work are equally modern innovative technologies we work on products that truly contribute to making our world safer at one of the worlds leading cybersecurity companies. We support professional development through training mentoring and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism a modern environment friendly people and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person then OPSWAT Veszprém is the place for you.
At OPSWAT we believe that great talent is always worth getting to know even when there are no current vacancies. Our Evergreen Machine Learning Operations Engineer position offers continuously open opportunities for enthusiastic and motivated professionals who may join us in the future. It is not tied to a specific vacancy but it enables us to get to know you and stay in touch so that when a new opportunity arises you could be among the first people we reach out to.
If youre interested in working as a Machine Learning Operations Engineer at OPSWAT please apply and we will get in touch!
You Will Have the Opportunity to
- 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
What We Are Looking For
- 3 years of experience in MLOps DevOps or ML Engineering
- Strong programming skills in Python and Bash
- Experience with ML frameworks astraining/serving()
- KnowledgeofmonitoringtoolsandbestpracticesforproductionMLsystems(eg:TensorboardDatadogStreamlit)
- 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
Why Youll Love Working Here
- Stable growing international company background with an exceptional customer group
- Opportunity to improve your professional skills
- The newest technology environment
- Language course and opportunity for active recreation kettlebell football and office massage
- Attractive working environment nice office full of accessories (fruits every day coffee breakfast tea etc.)
- Regular team events and Happy Hour activities
Required Experience:
IC
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