Title: Machine Learning Engineer / Data Scientist
Type: Full-time
Location: Valencia
Start date: Immediately
About Us At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof. With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data. We're on a mission to pioneer a bright future and build future-proof and ethical organizations. Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of our Visiumees. Ready to become one?
Role Join the company's growing team and take part in our expansion in Switzerland and internationally. As a Machine Learning Engineer, you will be working on a variety of applied research projects using state-of-the-art Machine learning techniques and you will help deploy them for people to leverage their outputs. You are passionate about understanding the business context for features built to drive better customer experience and adoption. Finally, you are meticulously organized and prepared to work in a fast-paced and dynamic team environment.
Requirements Data enthusiast, you are not scared to dive in and to ask the right questions. Resourceful & critical thinking. Collaborative and team-oriented spirit. Impeccable attention to details and drive to excel. Fast learner and have a problem-solving attitude; the projects you will work on are not textbook cases, you will need to be imaginative to bring the best solutions. Strong communication skills; you will most likely have to present your results to non-technical people. You have a growth mindset, always on the lookout on what you can improve, rationalize and consolidate. You are willing to always go the extra mile and never compromise on quality. Proactive attitude, not hesitating to act and take on responsibilities. Organizational skills and capacity to adapt in an ever-evolving startup environment. In addition, this should be part of your background to apply:
Proficiency in Python programming. Experience with ML / DL libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras, Pytorch). Experience with various visualization frameworks (e.g., Matplotlib, Seaborn, Bokeh, Power BI, Tableau, D3.Js, etc.). Experience in applying deep learning approaches, such as recurrent neural networks and deep convolution networks. Strong knowledge of clustering algorithms, regression and classification (supervised / unsupervised / reinforcement learning). Understanding of Unix / Linux operating systems. Familiarity with REST API and microservices. The following are a plus: Experience with Data and AI platforms (Databricks, Dataiku, Snowflake) or have one of their Data Engineer certifications.
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