Senior Data Scientist (Developer with ML skills) in GlobalLogic

Пряме повідомлення учасника, який розмістив вакансію, з GlobalLogic Sofiia Yanush Sofiia Yanush Recruitment Specialist | Strategic Talent Acquisition Job DescriptionTechStack:Proficiency in Python for data analysis and model development.Extensive experience with machine learning frameworks such as TensorFlow and PyTorch, with a focus on building and optimizing models.Experience with data visualization tools (e.g., Matplotlib, Seaborn) and data manipulation libraries (e.g., Pandas, NumPy).Familiarity with cloud services, preferably Azure, for deploying and managing machine learning models.Experience with:Developing and implementing machine learning algorithms.Working with large datasets and experience in data cleaning, preprocessing, and feature engineering.Applying modern NLP techniques and understanding of LLM (Large Language Models), including prompt engineering and fine-tuning strategies.Soft-skills:Strong communication skills, with the ability to present complex data insights in a clear and understandable manner.Ability to work independently and as part of a collaborative team.Demonstrated ownership of projects and tasks, with a proactive approach to problem-solving.Mentorship qualities, able to guide and support junior colleagues in their professional development.Initiative in identifying issues and proposing innovative solutions.Project stack/skills:Experience with project management and collaboration tools such as Jira and Confluence, understanding their relevance and proper usage.Proficiency in using GitHub for version control and peer review.Ability to create and maintain documentation in Confluence that is accessible and comprehensible to both technical and non-technical stakeholders.Job Responsibilities1. Conduct research on various issues related to Large Language Models (LLM) and their applications.2. Fine-tune LLMs3. Work collaboratively with team members to deliver high-quality results.4. Take ownership of assigned tasks and ensure timely completion.5. Communicate effectively with team members and stakeholders.6. Create clear and concise documentation using Confluence for the layman to understand the research and findings. Department/Project DescriptionThe Generative AI Platform project leverages cutting-edge AI and ML technologies to develop and deploy cloud-agnostic Gen AI applications on demand and enable users to create custom solutions for Sales, Marketing, Software Engineering, and Customer Service use cases. Fully managed RAG workflow including ingestion, retrieval, and augmentation of data, securely connected to many types of information consolidated and aggregated from multiple sources. The Platform's ultimate goal is to deliver the user-friendly LLM as a Service Model (LLMaaS) trained on internal company resources, which contributes to the adoption of AI among multiple consumers across the business. Show more Show less Position level Senior secondary level Type of employment Full-time Job responsibilities Engineering, Product Management and Information Technologies Industries Software development and IT services and IT Consulting