Machine Learning Engineer

@ Thales

About Machine Learning Engineer at Thales

At Thales, technology is harnessed to create a secure, sustainable, and inclusive world. With diverse perspectives and a culture of collaboration, we design and power systems people depend on every day.

About the Role

Imperva, a Thales company, is a global cybersecurity leader. Our Threat Research group seeks a Machine Learning Engineer to deploy ML models that protect customers against cyber-attacks. You will work alongside elite researchers and developers across Data Science, Data Engineering, DevOps, and Product teams.

Key Responsibilities

• Collaborate with multidisciplinary teams to deploy ML models in production.
• Develop robust ML applications optimized under predefined conditions.
• Build infrastructure and pipelines for the ML lifecycle.
• Manage and monitor ML infrastructure for production-grade performance.
• Implement monitoring, testing, and validation tools to ensure model accuracy.
• Introduce new features into the ML infrastructure.

Requirements

• B.Sc. in Computer Science, Engineering, Math, or a related field.
• 5+ years of hands-on experience with advanced Python.
• Deep understanding of the ML model lifecycle and ML pipelines.
• Experience with task orchestration and MLOps tools such as AirFlow, Kubeflow, and MLFlow.
• Familiarity with microservice architecture and container orchestration, like Kubernetes.
• Experience with cloud platforms (AWS, GCP, or Azure) and big data querying using SQL.
• Exposure to machine learning and deep learning libraries such as Scikit-learn, TensorFlow, PyTorch, and Keras.
• Knowledge in cybersecurity is a plus.

Our Culture & Inclusion

Thales champions inclusion and diversity. We are an equal opportunity employer and all qualified applicants will be considered without regard to any protected characteristics.

Key skills/competency

• Machine Learning
• Cybersecurity
• Python
• MLOps
• Data Science
• Deployment
• Cloud
• SQL
• Kubernetes
• Infrastructure