
Kharkiv, Ukraine
Kyiv, Ukraine
Warsawa , Poland
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.
Neolithics AI are developing disruptive technologies that revolutionize the entire food industry: from production to distribution. The 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, Neolithics AI 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 state-of-the-art high-performance ML products? Join the Neolithics AI to help the world.
● 8+ years of experience in Object Oriented development in an industrial environment.
● 5+ years of experience of python programming.
● 5+ years of experience with backend development.
● 3+ years of experience with DBs: Redis, Postgres, Elastic, etc.
● 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 learn and use new technologies.
● 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.
● B.Sc. in Computer Science from a leading university.
● M.Sc. in Computer Science.
● Familiarity with cloud computing: AWS/GCP/Azure
● Experience with data pipelines: ingestion, storage, and processing of big data.
● 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).
● Familiarity with Nvidia tools and devices: Jetson, Deepstream, TensorRT