Description review
Attendi | Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible
Attendi · Amsterdam, Netherlands · back to the listing
HR standards
67/100
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Title ↔ description
85/100
strong
Reads as
Machine Learning Engineer
100% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
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Company: Healthcare professionals spend too much valuable time on administrative tasks while they should be using that time delivering great care. Attendi enables healthcare professionals to report through speech. Aside from saving time, it removes the screen between client and caregiver, allowing more personal and effective care. Burdened by an aging population, the healthcare sector is in desperate need of innovators like Attendi. We provide an extraordinary work environment: getting paid well to work with smart people on things that actually have a positive impact on society.
Role: As an ML Engineer, you will accelerate our roadmap through operationalisation of ML in real-world production systems, owning the full lifecycle from prototyping to training, serving, monitoring, and continuously improving models in the cloud. We pride ourselves on keeping teams small, tightly knit and agile, enabling us to build the next generation of reporting intelligence for health care professionals.
Suitability: Hands-on experience/responsibility in an ML role. Full-stack with exposure to ML is not suited for this position.
Apply: https://attendi.recruitee.com/o/machine-learning-engineer
Role: As an ML Engineer, you will accelerate our roadmap through operationalisation of ML in real-world production systems, owning the full lifecycle from prototyping to training, serving, monitoring, and continuously improving models in the cloud. We pride ourselves on keeping teams small, tightly knit and agile, enabling us to build the next generation of reporting intelligence for health care professionals.
Suitability: Hands-on experience/responsibility in an ML role. Full-stack with exposure to ML is not suited for this position.
Apply: https://attendi.recruitee.com/o/machine-learning-engineer