


We at Neolithics AI are developing disruptive technologies that revolutionize the entire food industry: from production to distribution.
Our state-of-the-art inspection models examine tonnes of fresh produce more accurately and faster than anything else in the industry.
Neolithics is reducing the cost of food. In addition, by reducing the food waste, we are decreasing the burden on the environment, and directly answering the UN's Sustainability Goal of reducing global food waste by 50%, and thus also leading to greater food security for the impoverished.
Are you an excellent teammate, looking to work in a real startup environment, where you can contribute, learn, and influence?
Are you excited about developing high-performance and high-reliability products that incorporate state of the art ML models?
Join us at Neolithics AI to help the world.
Responsibilities:
You will be responsible for developing hybrid (on-prem/cloud) systems that support industrial scale Big Data + ML applications that serve our customers around the globe.
Minimum Qualifications:
- B.Sc. in Computer Science from a leading university
- 10+ years of industrial experience in high performance, high load systems development
- 6+ years of on-prem system deployment experience
- 5+ years of architectural design experience
- 5+ years of experience of python programming
- 5+ years of experience with backend development
- Peculiar about code quality
- Experience with modern CI/CD including advanced deployment methods
- Experience with modern logging, metrics, and tracing tools
- Excellent teamwork skills, effectiveness both in independent and collaborative work
- Ability to understand complex distributed systems and to know your way around them
- Ability and passion to drive large software systems, both vertically and horizontally
Preferred Qualifications:
- M.Sc. in Computer Science
- Experience with productization of ML models at industrial scale
- Experience with distributed computing platforms for high-scale systems and massive amounts of data (Kubernetes preferred)
- C/C++ at a high level.
Full-time position