Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 7 days agoWe saw it 45 min after it went up

Computer Vision & MLOps Engineer

Artidis15 open roles

Where
Basel, Switzerland, Remote
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowComputer Vision & MLOps EngineerArtidis · Basel, Switzerland, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Artidis's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Artidis postings stay open a median of 13 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 7 days ago

Artidis median: 13 days open

The posting

About ARTIDIS

Artidis® AG is a pioneering clinical stage health technology company that aims to set the gold standard in tissue analysis and therapy optimization. By combining its nanotechnology platform for rapid tissue analysis with a holistic data solution, Artidis® accelerates drug discovery, tissue engineering, and personalized treatment. Artidis® focuses its research and development efforts on solid tumors to enhance responses to chemotherapy, immunotherapy, and cell therapies, driving precision in cancer care.

Job Purpose

This role combines deep technical expertise in computer vision with strong MLOps capabilities to build and maintain production-grade AI systems.

Duties

  • Develop and deploy computer vision models for:Medical image classification Advanced segmentation Complex image analysis
  • Implement solutions using deep learning and classical techniques
  • Optimize models for medical device and cloud deployment
  • Design and implement end-to-end ML pipelines
  • Manage model lifecycle from experimentation to production
  • Build, automate and maintain scalable MLOps infrastructure
  • Implement robust monitoring and observability solutions

Qualifications

Technical Skills - ML & Computer Vision:

  • Proficiency in Python data stack (TensorFlow, PyTorch, numpy, pandas, scikit-learn).
  • Experience with OpenCV and other relevant computer vision libraries.
  • Strong background in computer vision solutions for medical images.
  • Expertise in developing and implementing computer vision solutions mainly image segmentation and object recognition.

Technical Skills - DevOps & MLOps:

  • Experience with Kubernetes operators and custom resources.
  • Proficiency in Docker containerization and multi-stage builds.
  • Advanced Git knowledge (branching strategies, workflows).
  • Experience Building and maintaining end-to-end ML pipelines.
  • Hands-on experience with Argo CD and Argo Workflows for ML pipelines.
  • Experience with infrastructure automation tools like: Helm charts for Kubernetes deployments.
  • Experience setting up and maintaining CI/CD pipelines.
  • Hands-on experience with model lifecycle management.
  • Hands-on experience with MLOps platforms: MLflow, Kubeflow...

Professional Skills

  • High level of expression and comprehension of the English language.
  • Experience in digital health and driving innovation in healthcare is highly desirable.
  • Commitment to writing documented, clear, efficient, and maintainable code.
  • Ability to design and implement requirements with long-term objectives, scalability, and maintainability in mind.
  • Proactive way of communicating and working.
  • Ability to work independently and take ownership without extensive supervision.
  • Strong team player.

Working Conditions

The environment is a typical start-up with an intrinsically motivated international team. Our company is an excellent place for rapid advancement and offers a promising opportunity to learn and share know-how in a very agile environment. The position requires the employee to go the extra mile when needed. We are looking for a team player who appreciates direct communication. The effort is rewarded with challenging tasks, the possibility to take responsibility, a highly driven team, and work serving a significant purpose. The job position comes with a competitive salary and a bonus for outstanding performance.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Artidis's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Artidis's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Artidis's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.