.OLSYS provides full-service solutions for mid-market and enterprise organizations.With 15+ years of experience, 100+ projects, and 50+ strong technical experts in the team, we continue to grow by expanding our development team in Europe, as well as expanding the base of new clients and projects.As an enterprise software development company, we are building long-term partnerships helping our clients accelerate their digital experiences with reasonable IT investments.Our tailored approach, e-commerce focus, and flexible solutions allow us to design, develop, and deliver scalable, integrated commerce platforms that drive profits and boost the business.Our industry focus:Banking and Finance (business continuity management, planning system, banking app development)Retail and E-Commerce (B2B Commerce, B2C Commerce, Digital/E-Commerce customer experience)Healthcare (website development for Healthcare organizations)Our expertise includes:Commerce SolutionsDevelopment ServicesCreative ServicesQuality Assurance and TestingMaintenance and SupportE-Commerce ConsultingThe RoleResponsibilities:Interact with the modern LLMs and adopt the best practices of their usage.R&D activities (experimenting with LLMs): Generate code based on the input description. Build test cases based on the user scenarios.Performance Monitoring: Monitor the performance of the models and make adjustments as necessary to maintain or enhance model accuracy and efficiency.Data Preprocessing and Annotation: Work with the Data Engineering team to preprocess and annotate the training data for AI/ML models. Collaborate with subject matter experts to create labeled datasets that facilitate supervised and unsupervised learning.Prototyping and Evaluation: Rapidly prototype and iterate different AI/ML approaches to identify the most suitable solution to meet the requirements. Perform rigorous evaluations to measure the model's performance against defined metrics.Documentation: Document all stages of the AI/ML development process, including design choices, architecture, algorithms, and evaluation results, ensuring knowledge transfer and team understanding.Collaboration: Collaborate closely with cross-functional teams, including Data Scientists and Software Engineers.Stay Abreast of Industry Trends: Keep up-to-date with the latest advancements in AI/ML, NLP, LLM and other relevant technologies. Integrate new research findings and methodologies into the project as applicable.Ideal ProfileExperience:Demonstrated experience of at least 5 years in developing AI/ML solutions with a focus on LLM and LLM frameworks (e.G. LangChain). Strong knowledge and practical experience in Generative AI, Interactive Chatbots, Graph databases.Data Processing: Experience in preprocessing and handling large-scale, unstructured text data, and the ability to perform data analysis and validation
