Data Scientist

Summary

Join Plain Concepts' international AI/ML team as a Data Scientist and contribute to the design and development of cutting-edge AI solutions for challenging projects. You will build production-level ML/AI solutions, implement MLOps, and deploy and monitor models and infrastructure. The role involves data analysis, model development and training, and putting AI models into production. Work arrangements are flexible, offering both fully remote and office options. Plain Concepts provides a collaborative and agile work environment with opportunities for professional growth and development.

Requirements

• 3 or more years of experience in AI / Machine Learning / Computer Science
• Ability to build an “end-to-end software product” which has a machine learning component
• Strong skills in Python and reasonable SQL understanding
• Experience in building ML/deep learning pipelines and models
• Experience in implementing production-ready ML models using current ML/Deep learning techniques
• Experience with Deep learning frameworks like Tensorflow, PyTorch etc
• Experience with Big Data projects and tools
• Experience writing RESTful web services
• Experience with DevOps technology (Docker, Continuous Integration and Continuous Deployment, etc.)
• Experience with source code version control tools
• Experience working with Azure or other cloud-based solution
• English is a must

Responsibilities

• Participate in the design and development of AI solutions for challenging projects
• Build production-level ML/AI solutions, with solid software engineering and ML/AI principles
• Implement MLOps
• Perform automated deployment and monitoring (models and infrastructure)
• Conduct data analysis (data cleaning, variable transformation, etc.)
• Develop and train ML models
• Put AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment

Benefits

• Salary determined by the market and your experience
• Flexible schedule 35 Hours / Week
• Fully remote work (optional)
• Flexible compensation (restaurant, transport, and childcare)
• Medical and dental insurance (completely free of charge for the employee)
• Individual budget for training or equipment and free Microsoft certifications
• English lessons
• Birthday day off
• Monthly bonus for electricity and Internet expenses at home
• Discount on gym plan and sports activities
• Plain Camp (annual team-building event)
• Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees
• The pleasure of always working with the latest technological tools!