- 1+ years industry experience in a machine learning or software engineering role (allowances made for exceptional candidates)
Knowledge of a modern high-level language (Java/ Go/ C++/ Python etc.)
Good knowledge of software engineering tools and best practices
Experience with machine learning libraries and frameworks (PyTorch, Hugging Face, Numpy etc.)
Broad understanding of machine learning techniques and how they can be used in a production environment
- Act as an ambassador of good engineering practices
Help identify reusable tools and features across customer projects
Create infrastructure and tooling to improve interactions with the model
Define and develop our model validation and productionisation process
Ensure the stability and maintainability of the codebase across the lifespan of the project
As the artificial intelligence field witnesses significant advancement and maturity, illustrated by notable examples like ChatGPT and Stable Diffusion, Deeper Insights has established itself as a leader in AI development for nearly a decade. Our dedication to excellence has earned us a place among Forbes’ Top 10 AI Companies. As we navigate a period of rapid growth and expansion, we invite you to join our team and contribute to our enduring success.
Our diverse portfolio of case studies showcases original AI research, large-scale automation workflows, and custom unstructured data intelligence AI solutions that cater to a wide range of interests. We are strong proponents of knowledge sharing and innovation, working tirelessly to resolve complex client challenges. Our DevSecOps culture emphasizes individual and collective empowerment, facilitated by agile, cross-functional teams. Each team member has access to data science specialization, ML engineering expertise, and operational knowledge throughout every phase of project inception, design, development, and delivery.
We are seeking a Junior Cloud DevOps Engineer to join our UK-based team. As a Junior Cloud DevOps Engineer, you will work closely with our senior engineers to design, implement and maintain the infrastructure and automation of our cloud-based systems. Your main responsibilities include assisting in the development and maintenance of CI/CD pipelines and monitoring and troubleshooting production systems to ensure high availability and performance.