Informacje o stanowisku

Idego is looking for a skilled and versatile AI Engineer/Developer responsible for creating and implementing AI-based solutions. In this role, you will utilize machine learning (ML) techniques, large language models (LLMs), and natural language processing (NLP). This position combines a hands-on approach to technology with opportunities for collaboration, innovation, and developing solutions that address real-world business challenges.

Several AI-related projects with growing needs:

• An AI assistant to support rating report analysis
• Implementation of an AI-powered chatbot for e-commerce applications
• An AI HR assistant

Experience

• Practical knowledge of Large Language Models (LLMs), generative AI frameworks, and machine learning (ML) methods.
• Experience in designing, deploying, and running AI solutions using modern tools and cloud platforms.
• Understanding of Retrieval-Augmented Generation (RAG) workflows, vector databases, and data embedding techniques.
• Proven skills in organizing and delivering training sessions, workshops, or presentations on AI technologies.

Technical Skills

• Strong expertise in Python for developing AI solutions.
• Hands-on experience with popular AI and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
• Familiarity with Natural Language Processing (NLP) tools and techniques, such as spaCy and NLTK.
• Proficiency in working with cloud platforms like AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Ability to design, build, and deploy APIs for AI models and solutions.

Idego is looking for a skilled and versatile AI Engineer/Developer responsible for creating and implementing AI-based solutions. In this role, you will utilize machine learning (ML) techniques, large language models (LLMs), and natural language processing (NLP). This position combines a hands-on approach to technology with opportunities for collaboration, innovation, and developing solutions that address real-world business challenges.

Several AI-related projects with growing needs:

• An AI assistant to support rating report analysis
• Implementation of an AI-powered chatbot for e-commerce applications
• An AI HR assistant

,[AI Solution Development: Design, implement, and test AI models with a focus on machine learning, generative AI, and large language models (LLMs)., API Development: Create and maintain efficient and scalable APIs for AI models, ensuring seamless integration and ease of use., Cloud Deployment: Deploy AI applications on cloud platforms such as AWS, Azure, or similar, ensuring reliability and scalability., Knowledge Sharing: Conduct or support training sessions, workshops, and presentations to promote best practices and share AI knowledge with teams and clients., Collaboration: Work closely with cross-functional teams to identify opportunities for AI implementation and deliver customized solutions., Continuous Improvement: Monitor, analyze, and optimize deployed solutions to ensure maximum performance and alignment with business goals. Requirements: AWS, Azure, GCP, Python, TensorFlow, PyTorch, NLP, AI, API Tools: Jira, Trello, Github, Agile, Scrum. Additionally: Sport subscription, Private healthcare, International projects.

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