Join to apply for the senior machine learning engineer role at arkham technologies.
about arkham
arkham is a data & ai platform—a suite of powerful tools designed to help you unify your data and use the best machine learning and generative ai models to solve your most complex operational challenges. Today, industry leaders like circle k, mexico infrastructure partners, and televisa editorial rely on our platform to simplify access to data and insights, automate complex processes, and optimize operations. With our platform and implementation service, our customers save time, reduce costs, and build a strong foundation for lasting data and ai transformation.
about the role
we are looking for a highly skilled and experienced mlops engineer to join our team. The ideal candidate will have a strong understanding of machine learning fundamentals and cloud technologies. The successful candidate will also be a team player who is able to work independently and as part of a larger team.
you will
* build an agnostic machine learning platform to automate the training, deployment, and monitoring of multiple models.
* design, develop, and deploy machine learning pipelines.
* work with data scientists to design solutions and translate them into technical specifications.
* work with the architecture department to align designed solutions with architecture vision.
* stay up-to-date on the latest technologies and trends in machine learning.
you have
* bs/ms in computer science or a related field.
* 3+ years of experience in mlops.
* strong understanding of machine learning.
* experience with:
o data wrangler
o feature store
o model training
o debugger
o monitor
* experience with building and deploying machine learning pipelines at scale.
* experience with working in a team environment.
* excellent problem-solving and debugging skills.
* ability to work independently and as part of a larger team.
seniority level
mid-senior level
employment type
full-time
job function
engineering and information technology
industries
technology, information and internet
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