Technology, Information and Internet

Seervision

11-50

Full-time (permanent)

Switzerland

Seervision is an ETH start-up, building a complete technology stack that simplifies and scales live video production. Our solution enables cameras to identify and track a person’s movements, autonomously adapting focus, zoom and framing to produce the ideal shot. Our technology is revolutionizing video production for stage, studio and sports events, helping clients deliver consistent, high-quality results at significantly lower costs.

We are looking for excellent engineers to help us design, develop and deploy transformative AI-powered products to our clients. In this role, you will be working together with other engineers towards building an infrastructure that supports our team in developing disruptive AI products that work.

## Tasks

- Shorten development cycles for our software and AI/ML systems
- Build and maintain tools and infrastructure for efficient software and AI/ML development.
- Help us build and automate our AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization.
- Improve and maintain our automated CI/CD pipeline.
- Increase our deployment velocity, including the process for deploying models and data pipelines into production.
- Improve the creation of dependable releases.
- Build and maintain infrastructure as code (IaC) in the cloud, that can scale when needed.
- Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance and validation).

## Requirements

**Required qualifications**

- Minimum Bachelor of Science degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
- Proven programming/scripting skills with multiple modern programming languages including Python, C++ and similar.
- 3+ years of work-related experience in professional software development.
- 3+ years experience  in cloud infrastructure such as AWS, GCP or  Azure.
- Excellent software design, problem solving and debugging skills.
- Strong interpersonal skills; able to work independently as well as in a team
- Experience with database systems including BigQuery, Postgres, MongoDB.
- Experience with DevOps tools such as GitLab, Ansible, Docker, Kubernetes.
- Familiar with tools such as Apache Airflow, DVC, MLFlow etc.

**Preferred qualifications**

- Experience working with data scientists and/or ML engineers and building auto-scaling ML systems.
- Experience with deep learning frameworks such as TensorFlow or Pytorch.
Experience with data validation and versioning.

**Your mindset**

- You love to architect and build infrastructure in the cloud.
- You are service-oriented and help the engineering team to develop, deploy and maintain our products with ease.
- You believe in continuous learning, sharing best practices, encouraging and elevating less experienced colleagues as they learn.
- You have a strong commitment to development best practices and code reviews.


## Benefits

- A dynamic, flexible, and diverse work environment
- The chance to take on substantial responsibilities from the first day and have a direct impact on our technology roadmap
- An ideal office location in the centre of Zürich, including the possibility to work from home
- A competitive salary for the Swiss startup scene


Interested? Apply with your CV and cover letter. We are looking forward to hearing from you!


Employee

Professional / Experienced

<p>Seervision is an ETH start-up, building a complete technology stack that simplifies and scales live video production. Our solution enables cameras to identify and track a person’s movements, autonomously adapting focus, zoom and framing to produce the ideal shot. Our technology is revolutionizing video production for stage, studio and sports events, helping clients deliver consistent, high-quality results at significantly lower costs.</p>
<p>We are looking for excellent engineers to help us design, develop and deploy transformative AI-powered products to our clients. In this role, you will be working together with other engineers towards building an infrastructure that supports our team in developing disruptive AI products that work.</p>
<h2 id="tasks">Tasks</h2>
<ul>
<li>Shorten development cycles for our software and AI/ML systems</li>
<li>Build and maintain tools and infrastructure for efficient software and AI/ML development.</li>
<li>Help us build and automate our AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization.</li>
<li>Improve and maintain our automated CI/CD pipeline.</li>
<li>Increase our deployment velocity, including the process for deploying models and data pipelines into production.</li>
<li>Improve the creation of dependable releases.</li>
<li>Build and maintain infrastructure as code (IaC) in the cloud, that can scale when needed.</li>
<li>Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance and validation).</li>
</ul>
<h2 id="requirements">Requirements</h2>
<p><strong>Required qualifications</strong></p>
<ul>
<li>Minimum Bachelor of Science degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.</li>
<li>Proven programming/scripting skills with multiple modern programming languages including Python, C++ and similar.</li>
<li>3+ years of work-related experience in professional software development.</li>
<li>3+ years experience  in cloud infrastructure such as AWS, GCP or  Azure.</li>
<li>Excellent software design, problem solving and debugging skills.</li>
<li>Strong interpersonal skills; able to work independently as well as in a team</li>
<li>Experience with database systems including BigQuery, Postgres, MongoDB.</li>
<li>Experience with DevOps tools such as GitLab, Ansible, Docker, Kubernetes.</li>
<li>Familiar with tools such as Apache Airflow, DVC, MLFlow etc.</li>
</ul>
<p><strong>Preferred qualifications</strong></p>
<ul>
<li>Experience working with data scientists and/or ML engineers and building auto-scaling ML systems.</li>
<li>Experience with deep learning frameworks such as TensorFlow or Pytorch.
Experience with data validation and versioning.</li>
</ul>
<p><strong>Your mindset</strong></p>
<ul>
<li>You love to architect and build infrastructure in the cloud.</li>
<li>You are service-oriented and help the engineering team to develop, deploy and maintain our products with ease.</li>
<li>You believe in continuous learning, sharing best practices, encouraging and elevating less experienced colleagues as they learn.</li>
<li>You have a strong commitment to development best practices and code reviews.</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>A dynamic, flexible, and diverse work environment</li>
<li>The chance to take on substantial responsibilities from the first day and have a direct impact on our technology roadmap</li>
<li>An ideal office location in the centre of Zürich, including the possibility to work from home</li>
<li>A competitive salary for the Swiss startup scene</li>
</ul>
<p>Interested? Apply with your CV and cover letter. We are looking forward to hearing from you!</p>


DevOps/MLOps Engineer

5 to 7 years

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