Remote Senior Lead Machine Learning Engineer, AI-Powered Platform
Mimica
πRemote - United Kingdom
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Job highlights
Summary
Join our team at Mimica and accelerate the discovery and deployment of automation with AI. As a founding member, you'll own components of our Machine Learning pipeline end-to-end, researching advanced techniques in Deep Learning and Transformers, analyzing and preprocessing multi-modal data, and training and fine-tuning models.
Requirements
- A background in solving complex technical challenges at the intersection of Machine Learning and Software Development, from exploratory analysis to shipping production code
- Experience delivering generalized solutions that are adaptable to different data scales
- Proficiency in Python, with expertise in developing algorithms for processing complex data structures
- A solid understanding of traditional NLP approaches, such as classification and named-entity recognition
- Working knowledge of Deep Learning techniques, including embeddings or transformers
- Experience owning projects from start to finish, including specification, architecture, development, testing, deployment and monitoring
- A drive to continually develop your skills, improve team processes, and reduce technical debt
- Fluency in English, with the ability to effectively communicate abstract ideas, complex concepts, and trade-offs
Responsibilities
- Handling various data types, including clickstream text data and images, using NLP and Computer Vision techniques
- Developing and deploying new models into production environments
- Creating tools to measure and enhance model accuracy and performance
- Documenting procedures and guides to facilitate knowledge sharing and helping other engineers to level up through pairing and mentoring
- Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow
Benefits
- Health benefits
- Ample paid time off
- Flexible schedules and location
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Please let Mimica know you found this job on JobsCollider. Thanks! π