Machine Learning Engineer
Job Description
Responsibilities
We are looking for an Engineer (Full Stack/ML) who will work on all parts of the stack with technologies like Go, Redis, Kubernetes, Red Panda, Docker, React, and more. You will be responsible for staying up to date with the latest and greatest in ML and will build workflows that are generally useful as templates thatll exist within our product from time to time.
Technical Stack
MongoDB
React / Next.js / Vercel
Python
Go
GCP
Redis
RedPanda
Celery
Other Tools
Notion
Slack
Figma
Apollo.io
Semrush
Qualifications
Bachelors degree or higher in related field.
Built or contributed to at least one open-source or personal project related to ML.
Passionate and up to date with Machine Learning.
Experience or familiar with Go, Redis, Kubernetes, Red Panda, Docker, React, etc.
1 - 7 years of relevant professional experience.
Our Commitment to Diversity
At Sian Consulting Group, our mission is to bring everyone the inspiration to create a life they love-and that includes our employees. We are taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.
Sian Consulting Group is an equal opportunity employer. All qualified applicants will receive consideration employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Work in United States
Employment Options
Base Salary
120,817 - 160,314 USD
Required Academic Degree
Professional Experience
Skills
- GO
- Redis
- Kubernetes
- Red Panda
- Docker
- React
- Notion
- Slack
- Figma
- Apollo.io
- Semrush