Machine Learning EngineerApgar is looking to recruit a Junior Machine Learning Engineer who wants to join our growing team in Porto Alegre or São Paulo, in Brazil and be part of a group of +200 teammates who are passionate about data.Some of the advantages of working with us:Flexible working schedule and ability to work in a hybrid mode (5 times in the office per month; 6 weeks a year fully remote from wherever you agree on).Competitive salary with benefits.Be supported by a senior consultant (mentor) that will help in your career development.A team spirit that will make you feel at home.Be part of a team located in 3 different continents where diversity is as common as the air you breathe.Your mission:Design and Implement Models: Develop, train, and fine-tune machine learning models to solve specific business problems.Data Preparation: Collect, clean, preprocess data, and perform feature engineering for training and testing models.Deployment and Maintenance: Deploy machine learning models into production environments and monitor their performance.Collaboration and Leadership: Work with data scientists, software engineers, and stakeholders, providing technical guidance and leadership.Software Development: Write clean, efficient, and maintainable code in Python, developing and maintaining software applications.Automation and Scripting: Create scripts to automate tasks and develop tools for data processing and analysis.Research and Innovation: Research and test advanced machine learning algorithms and techniques.You have:Strong knowledge of machine learning algorithms and techniques such as Decision Trees, Gradient Boosting, Clustering, Outlier Detection, Time Series Forecasting.Strong experience in Python, SQL, and relevant Python packages such as Pandas, Scikit-learn, Matplotlib.Proven experience in developing and deploying machine learning models.
Experience with MLflow or similar ML Ops platforms is a plus.Proven experience in managing databases such as PostgreSQL.Proven experience in using version control systems such as Gitlab.Experience in implementing RAG solutions is a plus.Experience in implementing APIs in FastAPI or Flask is a plus.Experience in Azure Machine Learning, AWS Sagemaker, or Google Cloud machine learning services, PyTorch, or TensorFlow are a plus.Ability to clearly articulate ideas and technical concepts to both technical and non-technical stakeholders.Collaboration and Teamwork.Strong problem-solving skills and the ability to think critically.A strong desire to continuously learn and stay updated with the latest advancements in machine learning.Fluent in English, with the ability to work on international projects.Who we are:Apgar is a leading company in the development and implementation of data platforms, recognized by analysts as one of the world leaders in this area.We support our clients in their digital transformation, through the global team that has more than 200 consultants in our offices located in Europe (Portugal, UK, France, Switzerland, Cyprus), The Americas (USA and Brazil), Middle East (Lebanon) and South Asia and Oceania (Singapore and Australia).Our consultants work on developing Master Data Management, Data Governance, Data Integration, Advanced Data Analytics and Machine Learning solutions among others.Let's talk about your future in the world of data management software?We firmly believe in an ethical approach to recruitment, where every candidate is treated with consideration, fairness, and transparency throughout the selection process, with the aim of respecting diversity, inclusion, and equal opportunities.Seniority levelEntry levelEmployment typeFull-timeJob functionInformation Technology and ConsultingBusiness Consulting and Services
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