AI Model Designer

Qualifications

• The successful candidate will also possess expertise in entity identification/extraction and knowledge client from structured and unstructured content, proficiency in Python, R, Spark, TensorFlow, Snowflake, Data Bricks, and other machine learning/LLM tools, familiarity with noSQL and vector databases, experience in CPU/GPU cloud environments, and excellent communication skills

• A PhD or Master's degree in Mathematics, Statistics, Data Science, Computer Science, or related fields is required for this position

• Strong background in developing and deploying predictive models

• Entity identification/extraction and knowledge client from structured and unstructured content

• Expertise in machine learning/LLM tools and languages

• Experience in CPU/GPU cloud environments

• Excellent communication skills

Responsibilities

• The ideal candidate will have a strong background in developing and deploying predictive models using various techniques, including supervised and unsupervised learning, deep learning (CNN, RNN, LSTM, Transformers), prompting, hybrid RAG, chunking/embedding, and fine-tuning with Open AI models and open-source LLMs-Natural Language Processing (sentiment analysis, embeddings, summarization, chatbots, etc.)

• The selected individual will be responsible for designing and implementing AI/ML models in various areas, including natural language processing, computer vision, and recommender systems

• Design and implement AI/ML models in various areas

Full Description

About Cynet Systems

Cynet Systems is a leading technology company that specializes in AI/ML solutions.

We are seeking a highly skilled Data Scientist to join our team and lead our AI/ML initiatives.

The ideal candidate will have a strong background in developing and deploying predictive models using various techniques, including supervised and unsupervised learning, deep learning (CNN, RNN, LSTM, Transformers), prompting, hybrid RAG, chunking/embedding, and fine-tuning with Open AI models and open-source LLMs-Natural Language Processing (sentiment analysis, embeddings, summarization, chatbots, etc.).

The selected individual will be responsible for designing and implementing AI/ML models in various areas, including natural language processing, computer vision, and recommender systems.

The successful candidate will also possess expertise in entity identification/extraction and knowledge client from structured and unstructured content, proficiency in Python, R, Spark, TensorFlow, Snowflake, Data Bricks, and other machine learning/LLM tools, familiarity with noSQL and vector databases, experience in CPU/GPU cloud environments, and excellent communication skills.

A PhD or Master's degree in Mathematics, Statistics, Data Science, Computer Science, or related fields is required for this position.

Requirements:

• Strong background in developing and deploying predictive models.

• Design and implement AI/ML models in various areas.

• Entity identification/extraction and knowledge client from structured and unstructured content.

• Expertise in machine learning/LLM tools and languages.

• Experience in CPU/GPU cloud environments.

• Excellent communication skills.