Description
Audio Codes is looking for a passionate, curious, dedicated Data Scientist. At Audio Codes we rely on insightful data to power our systems and solutions and are seeking an experienced data scientist to join our R&D team.
About Audio Codes Audio Codes (NASDAQ, TASE: AUDC) is a leading provider of advanced communications & collaboration software and productivity solutions for the digital workplace and customer experience. Our innovative products, solutions and services for the UCaa S, CX and Conversational AI markets are used by large multinational large enterprises worldwide. As of today, 50 of Fortune 100 enterprises use Audio Codes technology and solutions.
Conversational AI at Audio Codes Conversational AI technology enables machines to understand and interact with human language. Audio Codes' conversational AI solutions, integrated with advanced communications and collaboration software, as well as productivity solutions, offer innovative and intelligent services that automate and optimize voice and video processes, fostering innovation and differentiation. Audio Codes empowers businesses to gain a competitive edge and explore new opportunities for growth and expansion.
Job Description:
Talented data scientist with strong background in machine learning, deep learning, big data and ETL pipelines for a full-time job in Israel (center) under the media technology group. You will take part in the research and development of new AI based products for extracting insights from conversations, meetings, and chats.
Responsibilities:

• Responsible for NLP algorithms including Generative AI (training, fine-tuning and adaptions of Large Language Models).
• Defining and implementing ETL pipelines for multi-lingual textual corpuses
• Big-data processing, indexing and retrieval.
• Capable of vertical work from problem definition to product implementation.
• Ability to work under pressure in both individual and teamwork.
• Excellent interpersonal skills

Requirements

• 4-5 Years of experience in the industry working on NLP algorithms and in particular LLMs including Training, Reinforcement Learning and Fine-tuning.
• Strong background in machine learning algorithms including deep learning.
• Strong background with software engineering, specifically Python programming.

• Spark\Hadoop Map-Reduce • Linux OS

• Experience with AWS \ Azure clouds

Education

• Ph.D / M.Sc. in Computer science
• Graduated with honor from known university.