Aktuelle Jobs im Zusammenhang mit Machine Learning Ops Engineer - Zürich, Zürich - Daedalean AG
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Machine Learning Ops Engineer
vor 2 Wochen
Zürich, Zürich, Schweiz Daedalean AG VollzeitMachine Learning Ops Engineer Daedalean AG Zürich, Switzerland days ago Role details Contract type Permanent contract Employment type Full-time (> 32 hours Working hours Regular working hours Languages English Job location Zürich, Switzerland Tech stack Amazon Web Services (AWS Artificial Neural Networks Azure Big Data C Configuration Management Databases...
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Machine Learning Ops Ingenieur
vor 1 Woche
Zürich, Zürich, Schweiz Daedalean AG VollzeitMachine Learning Ops Ingenieur Daedalean AG Zürich, Switzerland days ago Role details Contract type Permanent contract Employment type Full-time (> 32 hours Working hours Regular working hours Languages German Job location Zürich, Switzerland Tech stack Amazon Web Services (AWS Artificial Neural Networks Azure C Databases Python Machine Learning Google...
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Machine Learning Engineer
vor 2 Wochen
Zürich, Zürich, Schweiz Apple VollzeitSummaryAre you interested in creating products that use machine learning and computer vision in novel and interactive ways? Are you looking to apply your expertise to produce transformative features like Live Text and Scribble? Using generative models to build highly visible products that are getting into the hands of hundreds of millions of users? We are an...
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Machine Learning Engineer
vor 2 Wochen
Zürich, Zürich, Schweiz PROSTAFF VollzeitFür ein strategisches Pricing-Programm im Privatkundengeschäft (P&C Pricing, DDC 4.0) suchen wir einen erfahrenen Machine Learning Engineer, der datengetriebene Modelle produktiv einsetzt und echten Business Value schafft. Du arbeitest in einem kleinen, hochqualifizierten ML-Squad und begleitest Lösungen End-to-End – von der Datenpipeline bis zum...
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Machine Learning Engineer
Vor 2 Tagen
Zürich, Zürich, Schweiz Lightly AG VollzeitAt the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant...
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Machine Learning Engineer
vor 2 Wochen
Zürich, Zürich, Schweiz Sunflower Labs GmbH VollzeitWe are looking for a computer vision and machine learning (CV/ML) engineer to enhance the perception capabilities of our fully autonomous drone-in-a-box system. You will be joining a small, CV/ML focused team and be one of the core contributors to our software stack, taking algorithms and models from prototype to deployment on the systems in the field. This...
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Machine Learning Engineer
vor 2 Wochen
Zürich, Zürich, Schweiz Sunflower Labs GmbH VollzeitWe are looking for a computer vision and machine learning (CV/ML) engineer to enhance the perception capabilities of our fully autonomous drone-in-a-box system. You will be joining a small, CV/ML focused team and be one of the core contributors to our software stack, taking algorithms and models from prototype to deployment on the systems in the field. This...
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Machine Learning Engineer
Vor 5 Tagen
Zürich, Zürich, Schweiz Artificialy VollzeitHard requirements (please DO NOT APPLY if you don't match all):You must have EU or Swiss nationality / C permitYou must have 4+ years of experience as an AI / Machine Learning Engineer or in a similar roleYou must be willing to work at least 80% onsite in our office Zürich and potentially on client's siteYou must speak fluently English (min. C1)RoleAs a...
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Principal Machine Learning Engineer
vor 2 Wochen
Zürich, Zürich, Schweiz Daedalean AG VollzeitPrincipal Machine Learning Engineer Daedalean AG days ago Role details Contract type Permanent contract Employment type Full-time (> 32 hours Working hours Regular working hours Languages English Job location Tech stack Artificial Intelligence Computer Vision C Computer Programming Python Machine Learning Rust Data Processing Safety Critical Systems Deep...
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Machine Learning Engineer
Vor 3 Tagen
Zürich, Zürich, Schweiz Kitro VollzeitYour missionWe're looking for a strategic machine learning engineer to advance KITRO's AI pipeline. In this role, you'll focus on increasing model accuracy, retraining and maintaining the ML pipeline, and supporting code and infrastructure upkeep. You'll also drive R&D of innovative products like LLM agents and new computer vision models. If you're...
Machine Learning Ops Engineer
vor 2 Wochen
Your role: As a ML company we produce and utilize large amounts of aerial video data that we need to store, process and make useful for our teams globally
You will be a part of the ML team designing, implementing and maintaining tools and infrastructure to support our ML development environment. These have to be efficient, scalable, reliable and adhere to very specific requirements dictated by our certification efforts whilst maintaining the necessary flexibility for the ML development. At Daedalean, we support both on-premise as well as cloud-based compute clusters
The work spans building web APIs, Kubernetes workflows, databases, storage and in-house tools written in Rust, C , Python or Golang, as well as deploying and maintaining 3rd party software tools. You will collaborate with our ML Development, Data Management and Data Annotation teams, making sure they have everything they need to work smoothly
With the support of these teams you will take ownership of capabilities such as flight test recording processing, annotation tooling pipelines, neural network optimization algorithms, inference platforms and configuration management and inventory. Requirements: You get things done and have: Proven track record of coding in C and/or Rust (Python experience is a plus) Strong affinity to working with large amounts data, preferably video/images A good understanding of neural network experimentation, life cycle management and familiarity with associated tooling, such as Weights & Biases, ClearML, DeterminedAI, Ray, or similar. Experience with cloud platforms such as AWS, Azure or GCP and the ML tools and the services they provide Familiarity with containerization and orchestration tools such as Argo, Kubernetes, Docker, etc. Familiarity and/or interest with web technologies such as web APIs, databases, storage systems, etc. Benefits: A team of experienced engineers and researchers, who joined us from most recognized companies and institutions. Difficult and interesting problems to solve. Hybrid work setting. Gym membership.
