Machine Learning Engineer

September 13, 2024

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Logo of Moovx

Moovx

Moovx is a software company based in Montevideo, Uruguay, specializing in web and mobile software development, custom UX/UI design, and IoT development. They work closely with organizations to create tailored software solutions and provide staff augmentation services, allowing businesses to focus on achieving strategic objectives. Moovx partners with leading technology providers like Amazon Web Services and Google Cloud to deliver top-tier IT services. Recognized for their innovation and agility, they have been named among the top B2B companies in Uruguay and have received accolades for their IT services.

πŸ“‹ Description

β€’ Responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. β€’ May be involved in designing and implementing AI/ML algorithms to embed directly into software products. β€’ The role may also be involved in performance tuning, testing, and product monitoring. β€’ Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. β€’ You will also be able to drive multiple ML initiatives by directing algorithm and technology product design.

🎯 Requirements

β€’ 4+ years of relevant work experience. β€’ Proficiency with modern scripting languages such as Python. β€’ Familiarity with effective data engineering practices and big data platforms such as BigQuery, Data Store, etc. β€’ Competence in modern web application frameworks like Node.js β€’ Skilled in writing SQL queries against a relational database. β€’ Knowledge of version control systems (preferably Git) β€’ Expertise in Google Cloud Platform and AI/ML components such as Vertex AI, BigQueryML, and AutoML. β€’ Strong background in Data Analysis and Machine Learning tools and libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch, etc. β€’ Proficiency in advanced machine learning techniques, including NLP, convolutional neural networks, auto encoders, and embeddings generation and utilization. β€’ Experience in training machine learning models with extremely large datasets. β€’ Advanced level of English.

πŸ–οΈ Benefits

β€’ Competitive salaries throughout LATAM (USD). β€’ Possibility of working 100% remote from anywhere in LATAM. β€’ Possibility of joining a new team with great challenges and growth prospects.

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September 7, 2024

Lead development of machine learning models for commercial insurance risk assessment.

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