Machine Learning Engineer II

4 weeks ago


Glasgow, Glasgow City, United Kingdom Zonda Full time
Machine Learning Engineer II - NLP Specialist

At Zonda, we're pushing the boundaries of housing innovation. We're not just following trends; we're setting them. With our sights set on a groundbreaking 2030 vision, we're rewriting the rules.

As a Machine Learning Engineer II - NLP Specialist, you'll be responsible for developing and maintaining Natural Language Processing models. You'll work closely with senior engineers and non-technical business stakeholders to design and execute NLP products for inference.

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.

Qualifications & Skills:

* 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.

Why People Love Working Here

* 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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