We are looking for passionate, ambitious, and excellent software engineers that want to break boundaries, move mountains and shape the AI future.

Requirements

• B.Sc. in Mathematics/Statistics/Physics/Computer Science or a related field
• Strong Python background, specific 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
• Fluent English

Will be a plus

• 2+ years as a Machine learning Engineer
• 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

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 and automate data pipelines 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

What we offer

• Competitive salary
• Medical insurance
• Tax compensation
• Full remote

About the project

Our new client is a young and ambitious startup that makes difficult things easier. They are creating unusual and brand-new product for building pipelines and creating models for analysis and predictions. The customers will get a lot of advantages because the product has a convenient web interface and can connect to multiple databases. This product uses cutting edge technologies that will increase the efficiency of small and medium-sized businesses. Also, there is no need to write a code.