Position: Machine Learning Developer
Company: JetSoftPro
Category: Python
Experience required: 2y

In this role, you will take the main part in defining and developing our client’s AI platform.
Our client’s mission is to make business-centric AI easy to use, safe, and accessible to everyone. Our platform enables business users to build and run AI applications safely, quickly, and efficiently – all codeless, self-serviced. We are looking for passionate, ambitious, and excellent software engineers that want to break boundaries, move mountains, and shape the AI future. Way to AI engineers are Kubernetes experts, develop cutting edge technologies and strive to get the best user experience and efficiency for our customers. In this role, you will take the main part in defining and developing our client’s AI platform.

Technology stack:
Python, Machine learning s, Microservices, Cloud technologies

Responsibilities:
- Work closely with the software development and research teams to create efficient training schemes for deep-learning-based algorithms
- Apply your scientific knowledge to analyze and collect data, identify problems, devise solutions and construct methodologies.
- Develop machine learning and deep learning models for time series and tabular data.
- Learn and Implement cutting-edge ML algorithms.
- Create an automa tte data pipeline including data extraction, validation & anomaly detection, indexing, and other data-related tasks
- Follow your project from ideation to implementation
- Contribute to a wide variety of projects using a range of technologies and tools
Skills/Requirements:
- Experience as a Machine learning Engineer
- Strong Python background, specifical proficiency with ML libraries (Scikit-Learn, Pandas, Pytorch, TF, etc.)
- Practical experience with tabular data and time series.
- Experience in Microservices architecture, cloud technologies, Docker/K8s
- Ability to design and own a feature through all its phases
- Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production
- Experience with data pipelines / big data compute
Fluent English
- B.Sc in Mathematics/Statistics/Physics/Computer Science or a related field
- M.Sc. in computer science, electrical engineering, Physics, or related areas from a top university. PhDs – very strong advantage.