Junior Data Scientist

Nasze wymagania: Ongoing or completed degree in Computer Science, Mathematics, Physics, Statistics, or a related technical field. Solid foundations in Python and a genuine passion for machine learning and data science. Basic understanding of machine learning concepts - supervised/unsupervised learning, model evaluation, neural networks. Familiarity with or strong interest in computer vision, LLMs, or NLP. Good communication and presentation skills - able to demo work and explain technical concepts to non-technical audiences. English at B2 level or above - our daily working language with international clients and teams. A proactive, curious mindset and the drive to learn independently in a fast-paced environment. Mile widziane: Hands-on experience with Azure ML, Databricks, or cloud platforms. Familiarity with OpenCV, LangChain, or Databricks Asset Bundles. Experience with structured output techniques for LLMs. Participation in ML competitions, hackathons, or university research projects. Any personal or academic projects involving model development - you'll be asked to present one as part of the technical interview. O projekcie: Why Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures. Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations. As we continue to grow, you'll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives. Opportunity Overview As a Junior Data Scientist, you'll take your first professional steps in a cloud-native, AI-forward environment, working with cutting-edge technologies including Azure, Databricks, and Large Language Models. You don't need to have commercial experience - what matters is your passion for data science and a genuine curiosity for building models that solve real problems. Expect hands-on exposure to machine learning, computer vision, and LLMs across high-visibility projects for international organizations and Fortune 500 clients. You'll join a team of passionate engineers and data scientists who value technical excellence, collaboration, and continuous growth. Zakres obowiązków: Developing and deploying machine learning models in cloud-native environments using Azure and Databricks. Working with LLMs, structured outputs, and LangChain to build intelligent, data-driven solutions. Applying computer vision techniques using OpenCV and related tools across real client projects. Collaborating with senior data scientists and engineers to translate business problems into model-ready tasks. Presenting and explaining your work clearly to stakeholders and clients - demos, walkthroughs, and technical summaries. Managing code and model versioning using Git and Databricks Asset Bundles. Continuously learning and staying up to date with emerging trends in AI, ML, and MLOps. Oferujemy: Benefits: MyBenefit / Multisport Enel‑Med private medical care Professional Growth: Annual 2,000 PLN development budget Access to premium e-learning platforms Real opportunities to grow your responsibilities and transition to mid-level roles Work Environment: Long-term collaboration (UZ or B2B) Remote-first, work from anywhere (workation) Flexible hours & focus on work-life balance Work with experienced engineers who support your development Flat structure — you have a voice and contribute directly to how we work Culture & Integration: Company-wide trips (including international offsites) Team integration budgets Friendly, supportive, and collaborative team environment