Plain Concepts is hiring a
Data Scientist

Summary

The job is for a Data Scientist Engineer role in an international AI/ML team. The candidate will be responsible for designing and developing AI solutions, building production level ML/AI solutions, MLOps, automated deployment and monitoring, data analysis, developing and training ML models, and putting AI models into production. The ideal candidate has more than 5 years of experience in AI/Machine Learning/Computer Science, knowledge in applied computer vision, strong skills in Python and reasonable SQL understanding, and experience in building ML/deep learning pipelines and models.

Requirements

• More than 5 years of experience in AI / Machine Learning / Computer Science
• Can build an ‘end-to-end software product’ which has machine learning component
• Knowledges in applied computer vision
• 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

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

Preferred Qualifications

• MLOps experience is very valuable for the team
• Experience in projects with NLP is neccesary

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 and free Microsoft certifications
• English lessons (1 hour/week)
• 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)