ML / Data Engineer
Summary
An ML/Data Engineer who develops, evaluates, and deploys machine learning models — spanning LLMs, generative AI, and computer vision — into production for a well-funded AI product company. Core stack is Python (PyTorch, NumPy, Pandas, OpenCV), SQL, external AI APIs, Docker, and CI/CD.
About the Company
Im partnering with a well-funded technology company building next-generation AI products and looking for an experienced ML / Data Engineer to help shape the future of intelligent decision-making systems.
About the Role
This is an opportunity to work at the intersection of:
- ✅ Machine Learning
- ✅ Computer Vision
- ✅ Generative AI
- ✅ Large Language Models
- ✅ Production AI Engineering
The Role Youll be responsible for developing, evaluating and deploying machine learning models that solve complex real-world problems at scale. Working alongside a highly technical team of engineers and researchers, youll help design intelligent systems that combine multiple AI approaches, balancing performance, reliability and operational efficiency.
Responsibilities
Key responsibilities include:
- Developing and improving machine learning and deep learning models
- Building evaluation frameworks to measure model performance
- Fine-tuning and deploying open-source AI models
- Developing production-grade AI solutions using frontier-model APIs
- Designing data-driven feedback loops to continuously improve system performance
- Collaborating with software engineers to deploy scalable ML systems
Qualifications
- Commercial experience building and deploying ML models
Required Skills
What Were Looking For
- Commercial experience building and deploying ML models
- Strong Python skills (PyTorch, NumPy, Pandas, OpenCV, SQL)
- Experience working with LLMs, GenAI, or multimodal AI systems
- Production experience integrating external AI APIs
- Understanding of model evaluation, experimentation and optimisation
- Experience with Docker, CI/CD and software engineering best practices
Preferred Skills
Nice to Have
- Computer Vision experience
- Experience fine-tuning foundation models
- MLOps or platform engineering exposure
- Experience working with large-scale datasets
Pay range and compensation package
- Competitive salary, bonus and benefits package
Equal Opportunity Statement
Interested in learning more? Get in touch - Narinder.Singh@opusrs.com