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Join the Innovation Journey with BIP Consulting! At BIP Consulting, we don’t just adapt to change—we drive it. For over 20 years, we’ve partnered with global businesses to transform challenges into growth opportunities through cutting-edge strategies and advanced technology solutions. Our growing team of 5,000+ consultants spans 14 countries, fostering a culture of creativity, collaboration, and entrepreneurial spirit. Whether pioneering AI-driven solutions, optimizing data analytics, or shaping the future of tech, we empower professionals to innovate and lead. Now, we’re excited to explore new horizons in Albania, creating opportunities for talented individuals passionate about shaping the digital landscape. Joining BIP means being part of a fast-paced, supportive environment where your ideas matter, and your career can soar. We are looking for an AI Engineer Intern who is passionate about turning state‑of‑the‑art AI into real business value. Our ideal candidate is a hands-on Python developer with a solid grasp of machine learning fundamentals and a strong curiosity for Generative AI and LLMs. You’ll be the bridge between data, models, and products—helping us build prototypes and scalable solutions that are reliable, safe, and delightful to use. You’ll work within a collaborative team where scientific rigor, clean code, and user-centric thinking are the gold standards.
Job Responsibility:
Your primary mission is to build, evaluate, and iterate on AI/ML solutions—from data preparation to model experimentation and lightweight deployment.
Requirements:
Python & ML Foundations (Must‑Have): You write clean Python
you’re comfortable with NumPy/pandas, basic ML with scikit‑learn, and understand the essentials of statistics, evaluation metrics, and data preprocessing. You use Git, and you document your work clearly.
GenAI & Product Mindset (Highly Valued): Hands-on curiosity with LLMs (prompting, RAG), vector databases (FAISS/Pinecone), and frameworks like LangChain/LlamaIndex. Familiarity with Azure OpenAI / OpenAI API and building simple APIs (FastAPI/Flask). A keen eye for usability, safety, and responsible AI practices.
English (Native/Fluent): Essential for daily collaboration and documentation.