Data Scientist

Summary

Join Plain Concepts' international AI/ML squad as a Data Scientist to craft tailor-made solutions for clients. You will train, deploy, and implement groundbreaking AI developments. Work on challenging AI-powered software projects with a brilliant team, utilizing cutting-edge technology. Enjoy flexible work arrangements, choosing between remote work or working from the office. The company embraces an agile methodology, offering full project ownership and multidisciplinary team collaboration. This role involves building production-level ML/AI solutions and putting AI models into production.

Requirements

• 3 or more years of experience in AI / Machine Learning / Computer Science
• Can build an “end-to-end software product” which has 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

• Participating in the design and development of AI solutions for challenging projects
• Building production level ML/AI solutions, with solid software engineering and ML/AI principles
• MLOps
• Automated deployment and monitoring (models and infrastructure)
• Data analysis (data cleaning, variable transformation, etc.)
• Developing and training ML models
• Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment

Benefits

• 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