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Glasgow, Glasgow City, United Kingdom Zonda Full timeAbout the RoleWe are seeking a highly skilled Machine Learning Engineer II to join our dynamic team at Zonda. As a key member of our team, you will be responsible for developing and maintaining Natural Language Processing (NLP) models and products.ResponsibilitiesCuration, cleaning, and maintenance of datasets for NLP models.Develop, optimize, and deploy NLP...
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Machine Learning Engineer II
2 months ago
Zonda is a pioneering company in the housing industry, dedicated to crafting the future of housing. We're not just following trends; we're setting them. With a groundbreaking 2030 vision, we're rewriting the rules.
Job SummaryWe're seeking a highly skilled Machine Learning Engineer II to join our dynamic team as a Natural Language Processing Specialist. As a mid-level engineer, you'll work closely with senior engineers and business stakeholders to develop and maintain language processing ML products. Your expertise will be instrumental in shaping the future of housing.
Key Responsibilities- Curation, cleaning, and maintenance of datasets for NLP models.
- Develop, optimize, and deploy NLP models.
- Collaborate with product stakeholders to capture and establish requirements for natural language models.
- Work 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.
- Masters in a specific field such as Statistics, Data Science, Machine Learning, or AI.
- Utilisation of Generative AI models.
- Knowledge of SQL and NoSQL databases including construction of queries, query optimisation, and schema design.
- API development using standard tools such as FastAPI or Flask.
- 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).
