Machine Learning Engineer

September 13

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Description

• 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. • May be involved in designing and implementing AI/ML algorithms to embed directly into software products. • The role may also be involved in performance tuning, testing, and product monitoring. • Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. • You will also be able to drive multiple ML initiatives by directing algorithm and technology product design.

Requirements

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

Benefits

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