🐟🐠🎣 Senior MLOps Engineer 🌺🌋⛵️

Senior MLOps Engineer, Senior Machine Learning DevOps Engineer, MLOps, Machine Learning DevOps, Azure Cloud, Image Processing, Docker, Computer Vision, Python, Sustainability, Remote Work, Blue Economy, Sustainability Startup, Tech For Good, Top Tier University, Full Stack Development, Backend, API, Environmental Impact, Career Growth, Work Life Balance,

https://youtu.be/c8rrrbYrUQU

🚀 Role Overview

Job Summary Video: https://youtu.be/c8rrrbYrUQU
We are: Pioneers in applying computer vision for real-world problems in the New Blue Economy.
Culture: A Globally Distributed Team, Fun, Sustainability Startup, Blue Economy.
Position: Senior MLOps Engineer – Azure Cloud
Passion: A desire to innovate in the field of sustainability.
Development: Build and scale cloud-based applications.
Impact: Architect solutions that preserve our oceans.

🫙 Requirements.txt

+++ Must Have:

USA: USA work rights & physically located in the United States.
MLOps: Minimum of 4 years in MLOps experience with substantial Python experience.
ML Computer Vision Experience: deploying and managing models.
Deep Learning: Proficiency with at least 1 framework Tensorflow or PyTorch.
Azure Cloud: Proficient in managing and troubleshooting Azure environments or strong AWS skillset with capability to quickly pick up Azure.
API Handling: Skilled in developing and maintaining API products.
Backend DEV: Competent in backend services design and development.
DevOps: Experience with Docker, Kubernetes, and cloud data architecture.
Education: Bachelor’s or Master’s degree in Computer Science from top-tier universities.

++ Good to Have:

Front End: Familiar with React for potential frontend tasks or other JS front end experience with the ability to quickly pick up React.

+ Nice to Have:

Cloud: Open to working with AWS, Google Cloud or other cloud services.

🐳 we_offer.yaml

Remote Work: The flexibility of a 100% remote job, open to those with the right to work from the USA. Candidates willing to relocate to Hawaii are welcomed, though it’s not mandatory.
Salary: $105,000 – $125,000 USD/year.
Environment: A globally distributed team with a passion for creative solutions to complex problems.
Impact: Direct contribution to marine ecosystem conservation.
Health Plans: Competitive health and dental insurance options.
Paid Time Off: Flexible time off, balancing hard work with downtime.
Flexible Schedule: We value work-life balance and provide scheduling flexibility within reason.
Relocation Assistance: For the right candidate, we’re willing to help you get where you need to be.

🐠 About us

Innovation in Conservation: Utilizing computer vision and machine learning for marine sustainability.
Established Expertise: Transforming fisheries management and ecological science since 2019.
Expansion and Growth: Developing new products and expanding into broader AI applications and markets.
Engineering Vision: Seeking engineers to advance our mission and technology.

📹 Application Process

Submit Your CV
If selected: there is only 1 interview stage.
1 Interview Stage Only [2h]:
- Book an interview slot: at your convenience for a live discussion, available morning, mid-day, evening, Monday to Saturday.
- Initial Questions: Work rights, job situation, willingness to move, and remote work preferences.
- CV Walkthrough: Detail your experience and skills.
- Personality Insight: Your personal attributes and professional motivations.
- Project Presentation: Showcase your capabilities through a past project.
- CS Theory and Coding Tasks: Demonstrate your technical knowledge and problem-solving skills.
- Hobby (NOT compulsory): As a bonus, you can add a hobby video, but it is not compulsory. For example: walking your dog, playing with your cat, doing some sports, etc.
If you are chosen: We will contact you via: A.) E-mail, B.) Job Platform Message
Enjoy your job!