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We are seeking a motivated and talented Junior Python/AI Engineer to join our dynamic team. The ideal candidate will have a strong foundation in Python programming, experience with machine learning frameworks, and a passion for artificial intelligence. This role offers an excellent opportunity for professional growth and the chance to work on innovative projects that leverage cutting-edge technologies. Key Responsibilities Develop and Maintain AI Models: Collaborate with senior engineers to design, implement, and optimize machine learning models using PyTorch and TensorFlow. Data Processing: Utilize ETL processes to gather, clean, and preprocess data using tools like Pandas and NumPy to ensure high-quality input for machine learning algorithms. Reinforcement Learning: Engage in projects involving reinforcement learning (RL) techniques, contributing to the development of intelligent systems. Testing and Validation: Conduct experiments to validate model performance and improve accuracy through iterative testing. Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to integrate AI solutions into applications. Documentation: Maintain thorough documentation of code, processes, and project developments to ensure clarity and facilitate knowledge sharing. Core Skills Programming Languages: Proficient in Python 3.x, with a solid understanding of object-oriented programming principles. Data Manipulation: Experience with ETL processes and libraries such as Pandas and NumPy for data analysis and manipulation. Machine Learning Frameworks: Familiarity with PyTorch, TensorFlow, Gym, or similar frameworks for developing AI models. Reinforcement Learning: Understanding of reinforcement learning concepts and their application in real-world scenarios. Prompting Common AI Tools: Experience in using common AI tools effectively by crafting detailed prompts that lead to high-quality outputs. Familiarity with techniques such as sequential prompting, role-playing personas, and iterative refinement of prompts. Nice-to-Have Skills Blockchain Knowledge: Familiarity with blockchain technology as a crypto user; understanding of its applications in AI is a plus. Natural Language Processing (NLP): Experience with NLP techniques, large language models (LLMs), and libraries such as Hugging Face Transformers. Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience). Strong analytical skills with a problem-solving mindset. Ability to work independently as well as collaboratively within a team environment. Excellent communication skills to convey technical concepts effectively. What We Offer A collaborative and inclusive work environment that fosters innovation. Opportunities for professional development and continuous learning. Competitive salary and benefits package. The chance to work on exciting projects at the forefront of AI technology.Похожие вакансии