Unlocking the Full Potential of Artificial Intelligence

Há 4 dias

Sorocaba, São Paulo, Brasil beBeeMachineLearning Tempo inteiro R$100.000 - R$140.000
Unlock Your Potential as a Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our data science group, you will drive innovation by generating software systems derived from various Machine Learning techniques.

In this role, you will explore large volumes of data, create and process datasets for training and evaluating machine learning models, and carry out data analysis and statistical processing.

Data sanitisation and building features appropriate to the problem domain (feature engineering) are also essential tasks.

You will explore, train, adjust and evaluate machine learning models based on classical techniques (XGBoost, genetic learning, K-means, PCA) and state-of-the-art techniques (e.g. neural networks, generative adversarial networks, reinforcement learning, foundation models).

Identify opportunities for supervised, unsupervised and semi-supervised learning according to the task.

Master data augmentation and regularisation techniques for images, time series, tabular data and natural language processing.

Develop and deploy machine learning-based solutions in production.

Collaborate with other development teams to implement trained models in existing systems, participating in the definition of the best architectures and data pipelines.

Write, develop, evaluate, document and deploy new and modified machine learning models using the most advanced technologies, services, frameworks and libraries on the market;

Carry out manual tests and prepare trained models for installation on different infrastructures, e.g. cloud and embedded devices.

Prepare and present technical reports and recommendations on ongoing projects, including continuous exploration of state-of-the-art technologies in the field of artificial intelligence and machine learning;

Knowledge of computer vision, federated learning, LLMs, use of GPUs, etc. is desired;

Work with agile methodology and in multidisciplinary teams focused on delivering value to the business and end customer using Scrum or similar approaches.

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