Senior IA/ML Engineer

Summary

Join Plain Concepts's international AI/ML squad as a Data Scientist and craft tailor-made AI solutions for clients. You will train, deploy, and implement groundbreaking AI developments. Work alongside a team of brilliant minds on cutting-edge projects. Enjoy flexible work arrangements, choosing between remote work or working from the office. The company embraces an agile methodology, offering full project ownership and a passionate team environment. This role involves designing and developing AI solutions, building production-level ML/AI solutions, and implementing MLOps for automated deployment and monitoring.

Requirements

• Have more than 7 years of experience in AI / Machine Learning / Computer Science
• Be able to build an “end-to-end software product” which has a machine learning component
• Possess knowledge in applied computer vision
• Have strong skills in Python and reasonable SQL understanding
• Have experience in building ML/deep learning pipelines and models
• Have experience in implementing production ready ML models using current ML/Deep learning techniques
• Have experience in projects with NLP
• Be proficient in ENGLISH

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
• Perform MLOps: 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
• Parallelize, optimize, tune, and test models for deployment in a production environment

Preferred Qualifications

• Have experience with Deep learning frameworks like Tensorflow, PyTorch etc
• Have experience with Big Data projects and tools
• Have experience writing RESTful web services
• Have experience with DevOps technology (Docker, Continuous Integration and Continuous Deployment, etc.)
• Have experience with source code version control tools
• Have experience working with Azure or other cloud-based solution
• Have experience with Azure Machine Learning
• Have knowledge of deep learning and neural networks
• Have experience with one or more of the following: Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar
• Have experience with TensorFlow Lite, TensorFlow serving y grpc
• Have unit testing knowledge
• Have 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 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!