Machine Learning Engineer II
4 weeks ago
Full Time
Remote, Scotland or Glasgow, UK
Zonda is a pioneering company that's redefining the future of housing. We're not just following trends; we're setting them. With our sights set on a groundbreaking 2030 vision, we're rewriting the rules.
We're seeking a talented Machine Learning Engineer II to join our dynamic team. As a mid-level engineer, you'll work closely with senior engineers and non-technical business stakeholders, contributing to the entire lifecycle of building and maintaining a language processing ML product.
Responsibilities- Curation, cleaning, and maintenance of datasets for NLP models.
- Develop, optimize, and deploy NLP models.
- Work with Product stakeholders to capture and establish requirements for natural language models.
- Collaborate with Product Managers, software engineering teams, and other departments to design NLP products for inference.
- Steer consolidation of dataset requirements, acquiring data, annotation, management, and version control for NLP applications.
- Monitor ML models in production, setting metrics to identify drift, and establish corrective measures for restoring model performance.
- Identify and implement appropriate tools for monitoring product performance in inference.
- Ownership of technical documentation related to datasets, model selection, training experiments, and production infrastructure.
- Continual learning and self-improvement with a focus on latest trends, techniques, and best practices in Machine Learning.
- Bachelor's degree in computer science, Engineering, or a related field.
- 3+ years of experience in Machine Learning, Data Science, or a related field.
- Proficient in Python and working knowledge of ML libraries PyTorch and scikit-learn.
- Experience and knowledge of LLM framework libraries such as LlamaIndex or Langchain.
- Strong mathematical, analytical, and problem-solving skills.
- Good understanding of Machine Learning algorithms and models (Language processing models such as GPT, BERT, etc).
- Experience in designing ML products for inference in cloud.
- Ability to structure and execute an ML project from start to completion, for both training and inference.
- Excellent communication and teamwork skills; ability to work in a team.
- Experience with cloud computing platforms like AWS, Google Cloud, or Azure.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience with version control systems like Git.
- We offer meaningful work and opportunities for career growth.
- Competitive Salary.
- Comprehensive benefit package (Medical, Dental, Vision).
- Paid vacation and general holidays.
- Education Allowance.
- Employee & Family Assistance Program (EFAP).
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