Machine Learning Engineer II

4 weeks ago


Glasgow, Glasgow City, United Kingdom Zonda Full time
Machine Learning Engineer II | Full Time

At Zonda, we're not just envisioning the future of housing – we're crafting it. We're not just following the trends; we're setting them. With our sights set on a groundbreaking 2030 vision, we're not just playing the game: we're rewriting the rules.

As a Machine Learning Engineer II, you will be responsible for Natural Language models-based product development and maintenance. You will work closely with senior engineers and non-technical business stakeholders, contributing to the entire lifecycle of building and maintaining a language processing ML product. An important aspect of this role would be product design and execution bearing cost efficiency and speed.

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.

Qualifications & Skills:

Need to have:

  • 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.

Nice to have:

  • 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.

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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