About this role
The team is a leader in AI-powered data security, providing innovative solutions that empower enterprises to enhance their data resilience and gain valuable insights. We are seeking a Staff ML Engineer to join our dynamic team and contribute to the development of cutting-edge machine learning models and algorithms.
In this role, you will be responsible for:
- Designing, developing, and deploying machine learning models to analyze and secure vast amounts of data.
- Collaborating with cross-functional teams to integrate ML solutions into existing products and services.
- Conducting research to advance the state-of-the-art in machine learning and AI technologies.
- Optimizing algorithms for performance and scalability in cloud and on-premises environments.
- Mentoring junior engineers and sharing your expertise in best practices for ML development.
The ideal candidate will have:
- Strong experience in machine learning frameworks such as TensorFlow or PyTorch.
- Proficiency in programming languages such as Python or Java.
- Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
- A solid understanding of data structures, algorithms, and software engineering principles.
- Excellent problem-solving skills and the ability to work collaboratively in a team.
Experience required: 5-8 years in machine learning engineering or a related field.
What we offer:
- An opportunity to work with a talented team on innovative projects.
- A collaborative and inclusive work environment.
- Opportunities for professional growth and development.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.