AI Engineer at Pollock & Associates

Job Description

Are you an experienced AI Engineer specialising in Natural Language Processing (NLP) and Machine Learning (ML)? We want to discuss this position with you.

This is primarily an in-office position to foster collaboration and immersion in the company culture. However, open to discussing a hybrid work arrangement once you have fully integrated with the team and processes, demonstrating the ability to maintain productivity and communication standards while working remotely.

You will possess a robust foundation in developing and deploying advanced AI and extensive language models (LLMs) to enhance our products and services. This role requires a deep understanding of both theoretical and practical aspects of AI, including the development of models that can interpret, generate, and interact using human language.

You will be responsible for integrating these AI capabilities into various platforms, ensuring their scalability and accessibility. Proficiency in problem-solving, collaboration across functional teams, and a commitment to continuous technological advancement in a fast-paced environment are essential. You will be well-equipped to address complex problems, enhance system efficiency, and drive innovative AI projects forward.

Qualification, Experience and Skills:

• Qualification: 3 years of qualifications in Computer Science, Artificial Intelligence, Computational Linguistics, or related fields, with a strong focus on NLP and LLMs.
• Minimum of 3 years of direct experience in NLP, ML, and specifically in developing and deploying large language models.
• Demonstrated ability to deploy AI solutions on cloud platforms such as AWS, Azure, or Google Cloud, with a focus on scalability and user access.
• Proven history in software development, with strong coding skills in Python and expertise in using AI frameworks like TensorFlow or PyTorch.
• Comprehensive understanding of the latest developments in NLP and LLM techniques, including natural language understanding (NLU), natural language generation (NLG), and machine translation.
• Experience in full-stack development or backend development for integrating AI models into production environments.
• Strong quantitative skills in statistical analysis and mathematical foundations of machine learning.
• Exceptional critical thinking skills, capable of devising and implementing innovative solutions to complex AI challenges.