Senior AI/ML Analyst (Data Science)

TL;DR

Senior AI/ML Analyst (Data Science): Collects and synthesizes data from various sources, develops multi-agent interaction scenarios, and creates agents based on CopilotGPT for content personalization. Focus on prompt engineering, integrating semantic search, and semantic table joining to improve real-time personalization and prepare reports on the impact of personalization efforts.

Локация: Можно удалённо

Компания

Beeline is a company that embraces change, responding sensitively to the needs of the market and people.

Что делать

• Collect and synthesize data from diverse sources, identifying patterns in unstructured datasets such as logs, texts, and events using Python, SQL, and Spark.
• Develop functional requirements for showcases, including sources, calculation frequency, and aggregation logic, while defining non-functional requirements like SLA for real-time personalization.
• Create and train agents on the CopilotGPT platform for personalized content and integrate semantic search with semantic table connections as implemented in the "CopilotGPT" project.
• Prepare reports for the business on the impact of implementing personalization strategies.
• Train and mentor team analysts, coordinating with data engineers, front-end developers, and information security.

Требования

• Experience with Big Data, including processing and analyzing large volumes of data, with knowledge of distributed storage and processing technologies (e.g., Hadoop, Spark).
• Proficient in PostgreSQL, including writing complex SQL queries, optimization, and working with indexes.
• Strong Python skills for data analysis, automation, and working with ML libraries.
• Knowledge of MLOps for automating the deployment, monitoring, and support of machine learning models.
• Experience in developing neural network models, including designing, training, and testing neural networks.
• Experience with LLM (Large Language Models), including integration and application of large language models.
• Skills in prompt engineering, including creating and optimizing prompts for interacting with LLMs.
• Proficiency in Git and GitLab for version control and team collaboration.
• Basic skills in Linux, including commands, navigation, and file management.

Культура и преимущества

• Employment in an accredited IT company with a cohesive team of professionals for project implementation, experience sharing, and development.
• Opportunities for training, participation in interesting projects, and expansion of professional expertise through conferences, meetups, and publications.
• A constructive and open working atmosphere.
• Comprehensive benefits package including voluntary health insurance, life insurance, accident insurance, and corporate discounts on goods and services.
• Cafeteria benefits for selecting additional corporate benefits and bonuses, available after the trial period.