• AI Model Development: Customize, fine-tune, and implement pre-existing AI models, including large language models (LLMs), to address specific business needs and integrate intelligent agent functionalities.
• Collaborate Cross-Functionally: Work with cross-functional teams, including software engineers and product managers, to integrate LLMs into products and services.
• Client-Focused AI Solutions: Engage in business-specific projects to integrate AI solutions that address unique business challenges.
• Data Analysis: Analyze and interpret complex datasets to inform AI model development, training, and optimization.
• Performance Optimization: Optimize AI models for performance, scalability, and reliability in production environments.
• Research and Innovation: Stay updated with the latest advancements in AI, machine learning, and LLMs, and apply innovative techniques to enhance systems.
• Documentation: Document AI processes, models, and algorithms for future reference and knowledge sharing.
• Ethical AI Implementation: Ensure AI solutions adhere to ethical guidelines, transparency, and compliance with relevant regulations.

Requirements

• Experience: 3+ years of experience in AI engineering, machine learning, or a related field.
• Programming Proficiency: Strong programming skills in languages such as Python or C++.
• Machine Learning Expertise: In-depth knowledge of machine learning algorithms, deep learning, and data mining techniques.
• LLM Frameworks: Experience working with large language models and AI frameworks/libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Data Handling: Proficiency in data preprocessing, data modeling, and working with large datasets.
• Analytical Skills: Strong analytical and problem-solving abilities, with attention to detail.
• Collaboration Skills: Ability to work collaboratively across diverse teams and client-specific initiatives.
• Communication Skills: Excellent communication skills, capable of conveying complex AI concepts to both technical and non-technical stakeholders.
• Educational Background: Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Continuous Learning: Demonstrated commitment to continuous learning and staying ahead of AI industry trends.

Benefits

• Opportunity to represent the global leader in robotic wind turbine maintenance and inspection services, working in a supportive and developing work environment and culture
• A modern and comfortable office location at Katlakalna iela 11E, Riga
• Well-equipped kitchen with healthy snacks
• Friendly and knowledgeable colleagues, as well as team events
• Health insurance after the probationary period and additional funding for the purchase of glasses
• Necessary equipment for the job
• Birthday gifts
• Paid study leave
• An additional 3 days of leave per year, which can be taken as needed
• Gifts and additional funding for special occasions (marriage, birth of a child)
• Salary ranging from EUR 4500 to EUR 5500 per month before taxes