Senior Data Scientist, MLOps

Summary

Join Plain Concepts' expanding international AI/ML team as a Senior Data Scientist Engineer. You will participate in designing and developing AI solutions, building production-level ML/AI solutions, and deploying and monitoring models. This role requires over 5 years of experience in AI/ML/Computer Science, proficiency in Python and SQL, and MLOps experience. You'll work on challenging projects using cutting-edge technologies in a flexible, remote-friendly environment. Plain Concepts offers a competitive salary, flexible schedule, comprehensive benefits, and opportunities for professional development.

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
• MLOps experience is mandatory for the team
• Experience in projects with NLP/Gen IA is neccesary
• ENGLISH IS MANDATORY

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
• MLOps Automated deployment and monitoring (models and infrastructure)
• Data analysis (data cleaning, variable transformation, etc.)
• Develop 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
• Azure Machine Learning: Experience with Azure Machine Learning is a plus, although not essential
• Deep learning and neural networks
• Expertise in deep learning and high-level neural networks
• Experience with one or more of the following: Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar
• TensorFlow Lite, TensorFlow serving y grpc
• Unit testing knowledge
• Solid object-oriented programming skills

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)