Full-Time Senior Data Scientist

We are expanding our development teams and although we don’t care much about titles, we call this role Senior Data Scientist.

As an Data Scientist Engineer, you will be part our international AI/ML team developing tailored solutions to satisfy our client's needs. We are looking for a passionate engineer with background in machine/deep learning. You will be training, and deploying models, putting research into production, among other tasks.

You will be part of a multidisciplinary team, taking care of the software engineering challenges associated with AI. You will take part in challenging projects using cutting edge technologies. You will work in an international environment with the possibility of working from home or from our offices.

Our vision is to build multidisciplinary teams which directly manage projects in an AGILE way to find and implement the best solutions 😊

You will be responsible for:

• 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.

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 very valuable for the team
• Experience in projects with NLP is neccesary
• ENGLISH IS MANDATORY

Very nice to have:

• Experience with Deep learning frameworks like Tensorflow, PyTorch etc.
• Experience with Big Data projects and tools. E
• 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.