AI technical Manager

AI Technical Manager

• AI Technical Manager with expertise in programming, problem-solving, and machine learning (ML) and artificial intelligence (AI).
• Proficiency in Python and SQL for model development and data processing.
• Strong programming skills, with a particular focus on Python, and experience utilising key data manipulation libraries, such as Pandas and NumPy.
• A solid background in machine learning, particularly in classification and retrieval tasks, as well as hands-on experience with large language models (LLMs), including fine-tuning for specific use cases, retrieval-augmented generation (RAG), foundation models APIs, and prompt engineering.
• Familiarity with Faiss for efficient nearest-neighbour search in retrieval tasks is highly desirable.
• A strong understanding of Natural Language Processing (NLP) is preferred, with experience in audio/voice manipulation tasks, specifically text-to-speech (TTS) and speech-to-text (STT).
• Familiarity with the Hugging Face Transformers and Datasets libraries is highly desirable. Proficiency in using tools such as Hydra for configuration management and Weights & Biases for tracking experiments is essential.
• As a technical expert, including experience with Git and GitHub for version control, and a proven ability to collaborate effectively in a team environment, particularly when working on shared codebases and remote projects.
• Strong data management and manipulation skills are crucial, as is experience working on remote servers to develop and deploy machine learning models.
• The person manages large or medium-sized teams and/or work efforts and works as an individual contributor role within organisation. .

KRA for AI Technical Manager

AI Technical Manager focuses on the effective delivery of AI solutions within the organisation.

• Driving AI model development and deployment, ensuring data quality and integrity, leading AI projects, and fostering innovation in AI technology.
• AI Model Development and Deployment
• Design, develop, and deploy AI models to address specific business needs.
• Accuracy of AI models
• Model deployment efficiency
• Data processing speed
• Integration with existing systems

PLEASE NOTE THIS IS A PLANT BASED POSITION AND HAS 6 DAYS WORKING.