Senior Engineer - ML & AI
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 28, 2026.
Company Description
Cyble (YC W21) is a Series B-funded global cyber intelligence start-up backed by Y Combinator and reputed VC firms. We provide our customers with AI-powered actionable threat intelligence to manage cyber risks and gathering intelligence across the Deepweb, Darkweb and Surface Web. Cyble is a fast-growing startup recognized by Forbes along with other distinctions.
Role Description
This is a full-time on-site role as a Senior Director of Machine Learning and Artificial Intelligence at Cyble Inc. located in Bengaluru. The Senior Director of Machine Learning and Artificial Intelligence will be responsible for managing and leading the Machine Learning and Artificial Intelligence team and providing technical guidance. The Senior Director will collaborate with cross-functional teams to develop and deploy machine learning models and algorithms to improve our cyber intelligence platform.
Key Responsibilities:
Lead a team of ML and AI professionals, focusing on innovation and excellence in AI-driven cybersecurity solutions, particularly in the development and enhancement of LAMMA.
Develop and implement comprehensive ML and AI strategies that align with Cyble's vision and technological objectives.
Design and deploy scalable machine learning models and AI solutions, with an emphasis on large language models, to augment our threat intelligence capabilities.
Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI/ML technologies into our product suite.
Keep abreast of the latest developments in AI and ML, ensuring Cyble remains at the forefront of the industry.
Facilitate knowledge sharing and mentorship within the team, promoting a culture of continuous learning and professional development.
Actively contribute to the strategic planning and technological roadmap of the company, with a focus on AI/ML and large language model innovations.
Qualifications
Computer Science and Data Science skills
Experience with pattern recognition and statistics
Experience with natural language processing (NLP)
Ability to develop, deploy and maintain large-scale machine learning models and algorithms
Experience with programming languages such as Python and Go.
Proven leadership and management skills in leading a Machine Learning and Artificial Intelligence team
Excellent communication skills and ability to collaborate with cross-functional teams
Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field
Experience in the cybersecurity or intelligence industry is a plus
Strong problem-solving and analytical skills
Compensation and Incentives:
We offer a highly lucrative compensation package for the right candidate, including a competitive salary, performance bonuses, and options. Our benefits package includes comprehensive health care, generous paid time off and others. We believe in rewarding excellence and commitment and providing incentives that reflect the significant impact of this role on our company’s success.