Plain Concepts is hiring a
Data Scientist

Summary

Join our international AI/ML team as a Data Scientist Engineer and contribute to developing tailored solutions for clients. As a passionate AI Engineer with a background in machine/deep learning, you will train and deploy models, work on challenging projects, and collaborate with a multidisciplinary team.

Requirements

• 5 years (or more) 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
• MLOps experience is very valuable for the team
• Experience in projects with NLP is neccesary

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

• 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

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