ML Engineer

Ermes – Cyber security S.p.A is a company providing advanced web security solutions for enterprises. Recognized by Gartner as the exclusive vendor for "Browser Security" in Italy and Europe, and a top 100 Cybersecurity AI company worldwide, Ermes revolutionizes web protection with its proprietary technology and aims to create a safer web experience for everyone.

Join Ermes in transforming web security and shaping a safer digital world!

What we are looking for:

We are looking for a Machine Learning Engineer to help us build innovative solutions that enable rapid protection from the threats of the web.

You will be part of a team that will focus on developing and deploying state-of-the-art AI solutions in production to manage machine learning pipelines, from training to inference at scale.

The main responsibilities include:

• Designing and developing machine learning systems and applications;
• Collaborate with data scientist to optimize and convert data science prototypes/models to production-ready applications;
• Training, retraining and fine-tuning ML systems and models as needed.

Key requirements include:

• MS or PhD in Computer Engineering or Computer Science or equivalent
• Possess strong programming proficiency in Python
• Strong knowledge of computer science fundamentals: data structures, algorithms, and programming languages
• Good knowledge of containers technology (Docker)
• Experience to design and develop machine learning applications in production
• Good knowledge of ML/AI frameworks (Tensorflow / Keras, PyTorch etc.)
• Strong knowledge of a variety of machine learning techniques and concepts
• Good knowledge of software engineering processes, agile methodologies, tools, methods, test development, algorithms, and data structures
• Fluent in spoken and written English
• Team player & Communication skills

Nice to haves:

• Familiarity with orchestration systems in cloud environments (ECS, EKS)
• Base knowledge of one or more data-oriented workflow and pipeline orchestration frameworks (TFX, KubeFlow, Airflow, etc.)
• Familiarity with one or more cloud computing platforms (AWS, GCP, Azure)
• Familiarity with distributed systems, and UNIX/Linux environments
• A disciplined approach to development, documentation, and code structure
• Familiarity with DNS, HTTP/S, and SSL/TLS protocol stack and basic networking concepts
• Possess an attitude to security and privacy and knowledge of secure code design guidelines

Job location: Turin

Please send your CV to recruiting@ermes.company

These announcements are addressed to both sexes, pursuant to laws 903/77 and 125/91, and to people of all ages and all nationalities, pursuant to legislative decrees 215/03 and 216/03.