Generative AI/Large Language Modelling Engineer

Responsibilities

• Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
• Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation
• Optimizing existing generative AI models for improved performance, scalability, and efficiency.
• Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

Requirements

• Master’s degree or higher in Computer Science, Engineering, or a related field.
• Proven experience in machine learning and artificial intelligence development.
• Proficiency in programming languages such as Python, R, or Java
• Experience with natural language processing (NLP) and large language modelling (e.g., BERT, GPT-3, GPT-4)
• Understanding of deep learning architectures and techniques.
• Strong mathematical and statistical background.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Excellent problem-solving and critical-thinking skills.
• Ability to work independently and in a collaborative team environment.
• Good communication and presentation skills.

Preferred Skills and Qualifications

• Knowledge of distributed computing and big data technologies (e.g., Spark, Hadoop).
• Previous work on real-world AI applications or projects.
• Publications or contributions to the AI/ML community.

Benefits

• Competitive remuneration package adjusted to proven skills and experience;
• Excellent working conditions;
• Exposure to training and professional development capabilities, including the ability to engage in cutting-edge research;
• Exposure to international clients and collaborators.