Omilia
Tech / AI / Software
Text&ReasoningLLM/NLUTechLead
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Text & Reasoning LLM / NLU Tech Lead at Omilia. Skills: LLM, NLU, text and reasoning tasks, conversational AI. Lead the design, development, and delivery of advanced Natural Language Understanding (NLU) solutions leveraging Large Language Models (LLMs) for text and reasoning tasks. Ensure technical excellence, innovation, and alignment with Omilia’s strategic objectives in conversational AI”
What You'll Achieve.
Ensure technical excellence, innovation, and alignment with Omilia’s strategic objectives in conversational AI; Ensure timely and successful delivery of NLU features and improvements; Drive measurable improvements in NLU accuracy, performance, and customer satisfaction
Industry & Context.
problem-solving skills; troubleshoot issues
What They're Looking For.
Must Have
Proven experience in 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, problem-solving, communication, and leadership skills, Track record of technical mentorship and driving impactful results in AI/NLU projects
What You'll Do.
and delivery of advanced Natural Language Understanding (NLU) solutions leveraging Large Language Models (LLMs) for text and reasoning tasks
Ensure technical excellence
and alignment with Omilia’s strategic objectives in conversational AI
Own the technical integrity and quality of NLU solutions
and maintainable code and models
Oversee architectural decisions
and best practices for LLM-based NLU systems
Ensure timely and successful delivery of NLU features and improvements
proactively identifying and mitigating risks
Operate with high independence
making critical technical decisions and setting standards for the team
Lead initiatives involving complex reasoning
and advanced text understanding
often spanning multiple projects or products
Drive measurable improvements in NLU accuracy
and customer satisfaction
Mentor engineers and data scientists
fostering a culture of technical excellence and continuous learning
Design and implement state-of-the-art LLM-based NLU models for text and reasoning tasks
Lead technical discussions
and solution design sessions
Collaborate with cross-functional teams (Product
Engineering) to define requirements and deliver solutions
Conduct code and model reviews
ensuring adherence to best practices and Omilia standards
Monitor system performance
and drive continuous improvement
Stay abreast of advancements in LLMs
evaluating and integrating relevant technologies
Provide technical mentorship and guidance to team members
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams (Product, Data Science, Engineering) to define requirements and deliver solutions; Contribute actively and effectively as an integrated team member
Communication Scope
communication skills; technical discussions; technical mentorship and guidance
Process & Methodology
Delivery Monitoring, Scope & Complexity, risk mitigation
Full Job Description
### **Role Purpose** Lead the design, development, and delivery of advanced Natural Language Understanding (NLU) solutions leveraging Large Language Models (LLMs) for text and reasoning tasks. Ensure technical excellence, innovation, and alignment with Omilia’s strategic objectives in conversational AI. ### Accountabilities * Technical Correctness: Own the technical integrity and quality of NLU solutions, ensuring robust, scalable, and maintainable code and models. * System Quality: Oversee architectural decisions, code reviews, and best practices for LLM-based NLU systems. * Delivery Monitoring: Ensure timely and successful delivery of NLU features and improvements, proactively identifying and mitigating risks. * Autonomy: Operate with high independence, making critical technical decisions and setting standards for the team. * Scope & Complexity: Lead initiatives involving complex reasoning, multi-turn dialogue, and advanced text understanding, often spanning multiple projects or products. * Impact: Drive measurable improvements in NLU accuracy, performance, and customer satisfaction. * Influence/Mentorship: Mentor engineers and data scientists, fostering a culture of technical excellence and continuous learning. ### Key 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 and Omilia standards. * Monitor system performance, troubleshoot issues, and 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.
Applying for this Text & Reasoning LLM / NLU Tech Lead role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Omilia?
Real rants from real employees. Read before you apply.