Technical Staff Member In Ai Development
E+E Consulting
Enhance AI capabilities at Onix as a Member of Technical Staff with a focus on small language models. Engage in innovative projects combining efficient training and high privacy standards.
As part of our small, expert-driven team in Old Montreal, your mission is to co-own the training stack used for developing SLMs, making significant contributions to Expert Fidelity. You will implement state-of-the-art techniques to ensure training aligns with privacy specifications, while actively working on production deployment. Dive into a research-focused environment dedicated to amplifying human intelligence.
Key Responsibilities: - Drive the development of the SLM training stack - Push boundaries of privacy architecture and fidelity - Deliver models to production with direct expert feedback - Engage in expert calls for model precision and persona - Use advanced frameworks for rapid prototyping
Requirements: - Significant experience in ML training and evaluation - Proven skills in distillation and on-device inference - Background in federated learning and retrieval methods - Ability to balance engineering and research expertise - Clear articulation of technical narratives
At Onix, your work will redefine the intersection of AI and expert knowledge.#J-18808-Ljbffr
As part of our small, expert-driven team in Old Montreal, your mission is to co-own the training stack used for developing SLMs, making significant contributions to Expert Fidelity. You will implement state-of-the-art techniques to ensure training aligns with privacy specifications, while actively working on production deployment. Dive into a research-focused environment dedicated to amplifying human intelligence.
Key Responsibilities: - Drive the development of the SLM training stack - Push boundaries of privacy architecture and fidelity - Deliver models to production with direct expert feedback - Engage in expert calls for model precision and persona - Use advanced frameworks for rapid prototyping
Requirements: - Significant experience in ML training and evaluation - Proven skills in distillation and on-device inference - Background in federated learning and retrieval methods - Ability to balance engineering and research expertise - Clear articulation of technical narratives
At Onix, your work will redefine the intersection of AI and expert knowledge.#J-18808-Ljbffr
Vacancy posted 2 hours ago
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