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Experienced Data Scientist

Score 50/1004d ago
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📊 AI / ML / Data Science: salaries and demand on the market
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Description
Go back On-site Full-time Novi Sad Nis Podgorica Experienced Data Scientist Apply now Who can apply? Technology is driven by people, and people come in all forms. There is zero room for bias or discrimination in our hiring process. We make decisions based on your skills and what you bring to the team. What you'll bring: Advanced mathematical expertise and extensive experience with Exploratory Data Analysis (EDA). Expert-level proficiency in Python and significant experience with relevant libraries (pandas, numpy, sklearn, matplotlib, keras, tensorflow, seaborn, pillow, opencv, skimage, vLLM, ollama, etc.). Proven commercial experience in at least one of these specialized areas: Computer Vision, NLP, Generative AI, or Recommendation Systems. Strong experience managing complete end-to-end project lifecycles - from data collection and modeling to deployment and production monitoring. In-depth experience with databases (SQL, NoSQL, Vector databases). Practical experience in Generative AI frameworks (LangChain, Huggingface, OpenAI), experiment tracking tools (MLflow), and deployment strategies (FastAPI, Docker, Kubernetes). Experience with at least one cloud environment (Azure, AWS, GCP) and services relevant to data science and AI. Proficiency in spoken and written English. Proactive, dedicated, and passionate attitude aligned with our company culture. Benefits of working in our team: Working on a large number of different projects (which includes working with differen
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