97 views
PIN-UP.TECH
17 липня 2024
Єреван (Вірменія), Варшава (Польща), Лімасол (Кіпр), Алмати (Казахстан), віддалено
PIN-UP.TECH is one of the directions of the international ecosystem PIN-UP Global, which operates in six countries — Ukraine, Poland, Kazakhstan, Cyprus, Peru, and Armenia. PIN-UP.TECH is the foundation of today’s international ecosystem of PIN-UP Global, the main products of PIN-UP.TECH are platforms for Ukraine and Kazakhstan. PIN-UP Global is an ecosystem of independent companies involved in the life cycle of various entertainment products. Ecosystem companies introduce innovative technologies, non-standard solutions for the development and scaling of products and services.
We are looking for a AI researcher & engineer to join our team.
Requirements:
• 3+ years of professional experience with Python;
• Experience using Generative AI, RAG and vector databases in production;
• Ability to write production level code in Python;
• Experience with LLM frameworks (i.e. LangChain, LlamaIndex) and prompt engineering techniques;
• Knowledge of Generative AI and ML technologies and using them to solve real problems;
• Experience with the best practices in software development, including version control, testing, and continuous integration;
• Fundamental knowledge of Data Science;
• Proactive attitude to challenge assumptions and come up with solutions.
Will be plus:
• Experience with Machine Learning Operations (MLOps) (Weights & Biases and etc.);
• End-to-end experience in training, evaluating, testing, and deploying ML solutions in production;
• Experience with the Hugging Face libraries;
• Experience in STT, TTS, AI pipelines, Backend and AWS.
Responsibilities:
• Write production code that meets our company’s high-quality and maintainability standards;
• Selecting the most appropriate Generative AI, Natural Language Processing (NLP), and Machine Learning(ML) model depending on the use case;
• Use your prompt engineering and prompt chaining skills to create new prompts and keep improving on the existing ones;
• LLM engineering, inference, tuning and training language models. Optimization NLP models;
• AI/ML personalization systems at scale;
• Deploy models in production environments;
• Develop and implement strategies for prompt engineering, model refinement, and training pipelines to enhance model performance;
• Manage the integration of сompany knowledge into NLP models to improve contextual understanding and output relevance;
• Evaluate and utilize state-of-the-art embedding vectors and encoding methods to ensure optimal model performance;
• Oversee the concept extraction and entity recognition processes, ensuring integration with existing knowledge base and data pipelines;
• Guide the team in the expansion and refinement of taxonomies using large language models, followed by human review for tagging accuracy;
• Drive the adoption of best practices in NLP model development, deployment, andmaintenance, staying abreast of the latest industry trends and research;
• Improve our LLMOps infrastructure to have a solid feedback loop with the most appropriate metrics to keep optimizing each use case;
• Implement RAG in production and fine tune each aspect of the process to keep improving its metrics;
• Work collaboratively with other squads and technical chapters;
• You will be part of a mission driven Agile team (Scrum/Kanban).
Design Leadership:
• Propose and evaluate solutions for design challenges, leveraging your expertise to identify and assess new technologies and third-party components;.
• Present designs to the tech team, contributing to the strategic alignment of technical decisions.
Standards and Best Practices:
• Advocate for and establish standards within the team and the broader tech community;
• Address operational aspects, prioritizing concerns such as technical debt, non-functional requirements, and the production environment’s performance.