Text & Reasoning LLM / NLU Tech Lead

Stack

Responsibilities

• ▹Design and implement state-of-the-art LLM-based NLU models for text and reasoning tasks
• ▹Lead technical discussions, architecture reviews, and solution design sessions
• ▹Collaborate with cross-functional teams (Product, Data Science, Engineering) to define requirements and deliver solutions
• ▹Conduct code and model reviews, ensuring adherence to best practices
• ▹Monitor system performance, troubleshoot issues, drive continuous improvement
• ▹Stay abreast of advancements in LLMs, NLU, and AI, evaluating and integrating relevant technologies
• ▹Provide technical mentorship and guidance to team members

Requirements

• ▹Advanced degree in Computer Science, Computational Linguistics, or related field
• ▹Proven experience designing, developing, and deploying LLM-based NLU systems
• ▹Deep understanding of NLP, machine learning, and reasoning algorithms
• ▹Proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace)
• ▹Experience with cloud platforms and scalable architectures
• ▹Strong problem-solving, communication, and leadership skills
• ▹Track record of technical mentorship and driving impactful results in AI/NLU projects

Soft skills

What we offer

• ▹Fixed compensation
• ▹Long-term employment with vacation days
• ▹Professional growth development (courses, training)
• ▹Being part of successful, cutting-edge technology products with global impact in the service industry
• ▹Proficient and fun-to-work-with colleagues
• ▹Apple gear

About the company

Omilia is shaping the future of conversational AI, building cutting-edge technology products that make a global impact in the service industry.