AI Engineer Specialist

Job Description

Digibee is seeking an AI Engineer Specialist to join their team. The candidate will play a key role in designing, implementing, and advancing state-of-the-art generative AI models. The successful candidate will collaborate with cross-functional teams, contributing to deliver cutting-edge AI functionalities in Digibee Integration Platform.Role involves:

• Research, design, and develop innovative generative AI models and algorithms.
• Implement and optimize deep learning architectures for generative tasks, focused on text generation.
• Collaborate with cross-functional teams to define goals, requirements, and deliverables and implement the features.
• Train and fine-tune models using large-scale datasets and advanced techniques.
• Evaluate and assess model performance, making necessary adjustments to improve results.
• Stay up-to-date with the latest advancements in generative AI trends and tools and contribute to the team's knowledge base.
• Write clean, efficient, and maintainable code, following best practices and coding standards.
• Document research findings, methodologies, and technical specifications.
• Participate in code reviews and provide constructive feedback to peers.
• Contribute to the development of tools and frameworks to facilitate generative AI research and development.
• Interpret insights from our pre-sales, sales, customer success teams and clients to create AI-based features.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Advanced or fluent English language proficiency.
• Strong understanding of machine learning, deep learning, and generative models.
• Proficiency in Python, TensorFlow, PyTorch, and other deep-learning related tools.
• Familiarity with the Hugging Face Transformers library of pre-trained models, including GPT-2, BERT, and others.
• Experience developing and training deep learning models using large-scale datasets.
• Solid understanding of neural network architectures (CNN, RNN, LSTM, Transformers), optimization techniques, and loss functions.
• Familiarity with natural language processing (NLP) tools and frameworks.
• Strong problem-solving skills and ability to think creatively.
• Excellent communication and collaboration skills.
• Ability to work independently and manage multiple projects simultaneously.

Role offers:

• Remote work.
• Flexible working schedule.
• Health care.
• Life insurance.
• Child care assistance.
• Gympass.
• English course.