Participate in the development of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains under the guidance of senior team members.
Assist in collecting, cleaning, and preprocessing data to prepare it for analysis and modeling.
Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services.
Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are accurately incorporated into our technology roadmap.
Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.
Requirements & Skills:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with at least 2+ years of industry experience.
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Strong knowledge of version control systems, especially Git.
Strong knowledge of CI/CD principles and tools.
Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.
Experience with MLOps platforms such as MLflow or Kubeflow.
Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.
Excellent problem-solving skills and the ability to troubleshoot complex issues.
Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences.
