Senior Machine Learning Expert

Há 3 dias

Tijucas, Brasil Bebeemachinelearning Tempo inteiro

The Senior Machine Learning Engineer owns the development and deployment of machine learning solutions, influencing the technical direction of their team.They work closely with Product and Engineering partners in the solution development.Lead the development and deployment of machine learning solutions to solve business problems.Develop and maintain clean, efficient, and scalable code that meets industry standards.Analyze large datasets to extract actionable insights and make informed decisions.Employ state-of-the-art machine learning methodologies and frameworks to develop robust and scalable models.Influence technical direction and take ownership of key components of systems and solutions, ensuring they meet business needs.Collaborate with stakeholders in data-driven solution development and deployable product delivery.Mentor junior team members to establish team domain expertise.Contribute to company intellectual property and technical leadership through patents and publications at top-tier conferences and journals.Requirements:5+ years of industry experience in applied machine learning.Masters Degree or PhD in CS/ML or related field.3+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale.Deep understanding of ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design.Experience in at least one of these domains: price estimation, personalization, recommender systems, computer vision, fraud detection and authentication, marketing.Extensive experience in scientific libraries in Python (numpy, pandas) and machine learning tools and frameworks (Scikit-Learn, Tensorflow, Keras, PyTorch).Strong data engineering skills and experience working with large-scale datasets.Experience with big data tools (Apache Beam, Apache Kafka, Spark).Experience with cloud technologies AWS, GCP or Azure.Fluency in Python, SQLPreferred Requirements:PhD preferred (CS, ML, AI or related field)Background in applying ML techniques to solve real-world business problems in the retail sector.Familiarity with MLOps tools and pipelines.Impact-focused and passionate about delivering high-quality models.Demonstrated leadership experience, with ability to lead and inspire a team.

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