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Technologies-expected : Machine Learning Data Science AI Python NLP Deep Learning Cloud MLOps Computer Vision Gen AI LLM technologies-optional : Tensor Flow Spark Kubernetes MLflow CI/CD AWS Py Torch Docker LLM RAG Lang Chain Llama Index Open AI Huggingface about-project : As a 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: Gen AI knowledge retrieval platform for the leading automotive company. This project involves the creation of an Azure-backed platform that leverages cutting-edge LLMs to deliver powerful insights from an enterprise-scale knowledge base. AI recommendation engine for the leading innovation company. This project involves the design of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs. 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. responsibilities : Develop, implement, and validate Machine Learning solutions tailored to specific project requirements. Understand clients’ needs and translate business problems into data science problems. Design scalable AI solution architectures Develop data pipelines and workflows, ensuring the highest standards of data quality and security. Collaborate with Data Engineering and Software Engineering teams to build and deploy AI applications. Present findings and recommendations clearly and concisely to stakeholders. Effectively plan tasks within an Agile/Scrum framework. requirements-expected : 4+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, Gen AI). 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