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Technologies-expected : Python NLP Computer Vision LLM Generative AI Machine Learning AI Cloud Technical leadership technologies-optional : Big Data about-project : As a Lead Data Scientist / ML Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join: AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information. AI recommendation engine for the leading innovation company. This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs. responsibilities : Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives. Lead the design of AI solution architectures that meet complex business goals and drive innovation. Research, test and select the best tools and technologies as well as AL solutions to meet the business requirements. Understand clients’ needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security. Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications. Present findings and recommendations clearly and concisely to stakeholders. Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery. requirements-expected : 6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, Gen AI). Experience in Machine Learning projects leadership and team mentoring. Proficiency in developing ML algorithms from scratch to production deployment. Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, Py Torch / Tensorflow). Proven expertise in deploying solutions in cloud environments (AWS or Azure). Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG). High proficiency in English (C1 level). Excellent communication skills and consulting experience with direct interaction with clients. Working experience in SQL and No SQL databases (Mongo DB, Snowflake, Databricks). Good knowledge of CI/CD principles (Git Hub and Git Hub Actions). Familiarity with MLOps practices, Kubernetes and Docker. Master’s or Ph. D. in Computer Science, Data Science, Mathematics, Physics, or a related field. offered : Work in a supportive team of passionate enthusiasts of AI & Big Data. Engage with top-tier global enterprises and cutting-edge startups on international projects. Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences. Choose from various employment options: B2 B, employment contracts, or contracts of mandate. Make use of 20 fully paid days off available for B2 B contractors and individuals under contracts of mandate. Participate in team-building events and utilize the integration budget. Celebrate work anniversaries, birthdays, and milestones. Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching. Get full work equipment for optimal productivity, including a laptop and other necessary devices. With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups. Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture. benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses remote work opportunities fruits integration events no dress code video games at work coffee / tea drinks parking space for employees birthday celebration employee referral program dofinansowanie do okularów korekcyjnych