Data Scientist

August 6

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Rediscover the meaning of technology | Spain, USA, UK, Germany, Netherlands, Australia and Romania.

Cloud Computing • Business Inteligence • Big Data • Mixed Reality • Virtual Reality

201 - 500

Description

• As a Data Scientist Engineer, you will be part of our international AI/ML team developing tailored solutions. • You will be training, and deploying models, putting research into production, among other tasks. • You will work in an international environment with the possibility of working from home or from our offices. • 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, optimizing, tuning, testing the models to deploy in a production environment.

Requirements

• More than 5 years of experience in AI / Machine Learning / Computer Science. • Can build an “end-to-end software product” which has a 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 necessary • 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 solutions. • 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) 🎪 • ➕ The pleasure of always working with the latest technological tools!