Experienced MLOps Engineer

Experienced MLOps Engineer

Imperva, the leader in Application & Data Security, is looking to hire an experienced MLOps engineer, as part of our Threat Research group to help us deploy our ML models that protects our customers against cyber attacks.

The threat research group is composed of elite researchers & developers. We research application, DDoS & database attacks, provide algorithms and ML models for new products, and are leading innovation and thought leadership initiatives.

Job Description:

· Work together with Data Scientists, Data Engineers, ML engineers, and Product teams to deploy ML models in production

· Be part of building the infrastructure for the ML lifecycle in production, from development to deployment and monitoring

· Manage and monitor the ML infrastructure to maintain production grade performance

· Ensure that our ML models in production remain accurate and reliable by implementing monitoring, testing, and validation tools and techniques.

· Introduce new data sources into the ML infrastructure that ML models can train and or infer upon in a reliable manner

· Introduce new features into the ML infrastructure

· Influence hundreds of millions of users, daily

Qualifications:

· B.Sc. in Computer Science, Engineering, Math, or other quantitative / technical field

· 4+ years of hands-on experience as an MLOps or DevOps engineer

· Proven track record in building and managing ML pipelines

· Understanding of Machine Learning workflows and common Machine Learning or Data Orchestration frameworks such as AirFlow, MLFlow, Kubeflow, and SageMaker

· Familiarity with container orchestration tools, including Kubernetes

· Experience with cloud-based data platforms such as AWS, GCP, or AZURE

· Solid Python programming skills

· Strong problem-solving skills and the ability to work both collaboratively with a team and independently

· Knowledge of Machine Learning: understanding basic concepts and how models are trained and tested

· Self-learner with can-do attitude

· Background in cybersecurity – an advantage

· Solid experience in querying and manipulating large data sets using SQL and SQL like languages (e.g., Presto) - an advantage

· Solid experience in machine learning and deep-learning libraries, such as Scikit-learn, SciPy, TensorFlow, Pandas, NumPy ,PyTorch, Keras – an advantage.

· Hands on programming skills in Java, C++, and Rust - an advantage

Legal Notice:

Imperva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ancestry, pregnancy, age, sexual orientation, gender identity, marital status, protected veteran status, medical condition or disability, or any other characteristic protected by law.