The responsibilities of this role include:
Lead the development of core AI/ML models and algorithms that drive our product’s key use cases in the cybersecurity and observability domains.
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 research and developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.
Actively participate in cross-functional discussions and strategic decisions related to AI research directions and product roadmaps.
Requirements:
Knowledge, Skills, and Abilities:
PhD in Computer Science or a related field OR MS in Computer Science or related field with at least 2-3 years of industry experience
Experience training and fine tuning LLMs
Experience with time series anomaly detection
In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
In-depth knowledge and proven track record in Generative AI technology and Large Language Models (LLM).
Experience developing large-scale, complex models and deploying and taking them from research to production systems.
Strong problem-solving skills and the ability to translate research insights into practical solutions that address real-world challenges.
Deep understanding of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages commonly used in AI research.
Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Experience in the Cybersecurity and/or Observability industry is preferred.

Please refer the Job description for details