Job Description

What are we doing At Talkdesk we are reimagining how people experience contact centers, helping our customers create long lasting and meaningful relations with their customers. The capacity to make sense of the message that is being conveyed when we communicate has been reserved to humans alone, but we are building the next generation of solutions that will mimic our ability to understand language, ensuring that the customer needs are always well understood and efficiently handled. We are a growing team of curious and talented people that are focused on leveraging the power of Generative AI, Speech Recognition, NLP and predictive ML to deliver added value to our customers. What do we need We focus on Applied AI research and engineering to bridge the gap between AI capabilities and Talkdesk products. We re looking for AI scientists who geek out on solving business problems and impacting millions of people s daily lives. We need someone that is a natural problem solver, who likes to be challenged, has the drive to explore, and is committed to quality. We expect you to be a team player, reliable, and easy to communicate with. You will have to leverage different AI modeling techniques to deliver state of the art solutions around natural language understanding and generation. More specifically, you will have to: Focus on delivering working and robust products/models to production. Explore, clean, and transform large datasets of unstructured data; Apply, combine, and fine-tune different predictive and LMM models to achieve optimal and accurate results; Build pipelines that provide observability, metrics-driven monitoring of AI solutions and safe AI in the wild; What are we looking for 5-10 years industry experience post BS or MS in the areas of Science, Engineer or Statistics Hands-on experience with generative language models (including prompt engineering, fine-tuning, and monitoring) and related frameworks (e.g., LangChain, LlamaIndex, NeMo) Data curation and application of PEFT approaches for tuning open source LLMs Knowledge and experience building guardrails for GenAI applications Relevant experience with developing production-grade NLP/Speech tasks. Familiarity with optimizing LLMs and model serving at scale Familiarity with supervised and unsupervised machine learning algorithms (e.g., neural networks, SVM, decision trees, clustering) Comfortable with SDLC and working in planned and predictable development iterations Fluency in Python and familiarity with Java or Scala Work Environment and Physical Requirements: Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)