SENIOR MACHINE LEARNING ENGINEER
hace 3 semanas
Are you ready to be part of a dynamic cybersecurity scale-up revolutionizing secure software development? At IriusRisk, we're on a mission to make Secure by Design the standard practice for software teams everywhere. With our platform automating threat modeling, we empower developers to create secure software at scale.
IriusRisk is like the superhero of threat modeling and secure software design . We're all about spotting vulnerabilities before they become a problem. Our platform makes threat modeling a breeze, empowering developers to create software that's not just awesome but also super secure, even at scale
Join us at the forefront of AI integration in cybersecurity We're seeking a Senior ML Engineer to enhance our platform with cutting-edge AI capabilities. In this role, you'll drive the development of server-side logic and infrastructure to elevate our threat modeling experience. Collaborating closely with AI engineers, you'll pioneer new product features, ensuring scalability, security, and performance.
- Design, develop, and deliver backend solutions for AI integration within the IriusRisk Threat Modeling platform.
- Collaborate with AI engineers to deploy innovative product enhancements.
- Stay informed about the latest backend technologies, evaluating their potential application in our development process.
- Contribute to technical roadmap and architectural decisions for backend development.
We're seeking a proactive problem-solver with a keen eye for detail. As an excellent communicator, you thrive in collaborative environments and engage effectively with team members and stakeholders. With a passion for continuous learning, you stay abreast of emerging technologies and industry trends.
If you're ready to shape the future of secure software development with AI, we want to hear from you Join us in our mission to make the digital world safer for all. Apply now to become a vital part of the IriusRisk team
What we are offering?
- 100% remote work
- Flexible hours and ease of work/family balance
- Great team collaboration between departments.
- An Agile environment
- We have a “Do it well” culture and we don’t fear investing time to do things right the first time while balancing time to delivery.
- Training budget and certifications related to your role.
- Medical Insurance
- Referral bonus
- Horizontal business culture
- 4,5* Glassdoor rating
- +92% employee retention rate
Requirements:
Essential skills and experience
- A strong and pragmatic product focus that means you get working solutions into the hands of users quickly and iteratively.
- Experience developing a product from design to delivery, with time-to-market and user experience is a priority.
- Strong opinions on what a good engineering culture looks like, and a drive for continuous improvement.
- Solid experience developing with Python, FastAPI, and similar technologies.
- Experience with API-first development and the HATEOAS architecture for REST API development.
- Strong background in scalable and distributed architectures such as microservices, containers etc.
- Experience building services in AWS, using native AWS services, and developing and deploying Infrastructure as Code.
- Bachelor's or master's degree in computer science, engineering, or a related field.
- Exposure to AI, LLM, machine learning, and NLP libraries (e.g., LangChain, TensorFlow, PyTorch, spaCy).
- Previous use of Amazon Web Services tools around AI/ML (Bedrock, SageMaker, …).
- Experience working directly with data scientists and AI engineers.
- Experience with cybersecurity or threat modeling is a significant plus.
- Experience with leading a team of software engineers.
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