About the Role
Aye is seeking a talented Machine Learning Engineer to join our visionary team. In this role, you will leverage your expertise in machine learning, data science, and software engineering to develop and deploy sophisticated AI models that power our product – AyeFace. As a Machine Learning Engineer at Aye, you will leverage your expertise in machine learning, data science, and software engineering to develop and deploy sophisticated AI models that power AyeFace. Your contributions will be critical in linking retail activities with biometric data, driving impactful solutions for our clients.
Requirements
Key Qualifications:
- Graduated or currently pursuing a major in Computer Science, Data Science, Statistics or Mathematics
- Hands on experience in building models for use cases in real life applications
- Experience adapting pre-trained LLMs for downstream tasks & human alignment
- Modeling experience at the intersection of NLP and vision
- Familiarity with distributed training
- Proficiency in ML toolkit of choice, e.g., PyTorch
- Strong programming skills in Python, C and C++
- Experience in deployment on Google Cloud Platform.
- Excellent communication skills in articulating approaches and solutions
- Agile team player who thrives in a fast-paced startup environment
Main Responsibilities:
- Preprocess and analyse extensive datasets from retail and biometric sources to extract actionable insights and features for model training.
- Design, develop, and implement advanced machine learning (semi-supervised & reinforcement learning) models and algorithms tailored to vast volumes of retail data and biometric integration for high conversion predictions and actionable recommendations.
- Deploy machine learning models into production environments, ensuring robust performance, monitoring their efficacy and constant fine-tuning to manage data drift.
- Optimise and fine-tune machine learning models to ensure superior performance, scalability, and accuracy.
- Understand and utilise prompting patterns and testing tools for AI prompt optimization.
Document each process and approach applied to ensure transparency and audibility. - Collaborate closely with data engineers, infrastructure engineers, and backend engineers to ensure the highest quality and availability of data, robust system architecture, and seamless integration of machine learning models.
To Apply
Drop an email to jobs@aye-ai.org with a one-page cover letter and your CV, any suitable portfolio of work samples and/or writing samples.