Machine Learning Engineer II | Full Time
Remote, Scotland or Glasgow, UK
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!
Ready to bring your passion and expertise as a Machine Learning Engineer II to our dynamic team? At Zonda, we don't just seek employees; we seek trailblazers, dreamers, and innovators. Here, every project is a canvas for creativity, and your skills aren't just tools; they're the building blocks of our future! Join us on a journey where collaboration knows no bounds, diversity is celebrated, and innovation is the heartbeat of our culture. Together, let's shape the future of housing in an environment that's as exciting as it is rewarding!
The ML Engineer (Natural Language Processing) II is a mid-level position responsible for Natural Language models-based product development and maintenance. As a mid-level engineer in this role, you will work closely with senior engineers and non-technical business stake holders, 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. The ideal candidate would have skills in software programming, ML, mathematics, and DevOps. Good communication skills with an ability to demystify ML algorithms and capabilities is a must, as stakeholders in ML products include software engineering teams as well as non-technical business partners.
Responsibility
Curation, cleaning, and maintenance of datasets for NLP models. Develop, optimise, 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)
