AI Developer

WE ARE LOOKING FOR AI Developer

We are looking for AI Developer with a strong background in fine-tuning Large Language Models (LLMs). Our organization engages in diverse projects for a variety of customers across different segments, and the ideal candidate will be instrumental in delivering tailored AI solutions that meet unique client needs.

Key Responsibilities

• Customize, optimize and integrate LLM architectures and related algorithms to meet the specific needs of various customer applications.
• Collaborate with cross-functional teams to integrate LLMs into client platforms and applications, ensuring solutions are tailored to specific industry requirements.
• Conduct research to stay current with emerging trends and technologies in language modeling and AI to enhance project outcomes.
• Analyze and preprocess diverse datasets suitable for training and evaluating LLMs, adapting strategies to meet the needs of various sectors.
• Monitor and evaluate the performance of deployed models for clients and make necessary improvements based on feedback and results.
  
  

Your future colleagues are waiting for you to join our international team. Working with us is uncomplicated, there’s a good team spirit, low-hierarchy and nonexistent bureaucracy. Our way of working is flexible too, many of our team work remotely from home with visits to our office from time to time when needed. This role is equally challenging, and as such we offer a very good compensation.

Required Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proven experience in developing and deploying large-scale AI models, particularly LLMs, in a client-focused environment.
• Proficiency in programming languages such as Python, with experience in relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Strong understanding of natural language processing techniques and algorithms applicable to different industries.
• Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment and scalability, adaptable to diverse project requirements.
• Experience in working with large datasets and data preprocessing techniques suited for varying customer needs.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment to meet client objectives.
• Strong communication skills for articulating complex ideas to both technical and non-technical audiences.