Innovative Data Solutions Leader

4 semanas atrás

Brasil beBeeMachineLearning Tempo inteiro

Advanced Machine Learning Scientist We are seeking a highly skilled Machine Learning Scientist to lead the development and deployment of advanced ML solutions. This is an excellent opportunity for someone who combines strong technical expertise with leadership capabilities and a passion for building high-impact solutions. The ideal candidate will have a deep understanding of ML best practices, including A/B testing, pipelines, feature engineering, and experiment design. Lead end-to-end development and deployment of ML models to solve complex business problems. Write and maintain clean, efficient, scalable code following industry best practices. Analyze large-scale datasets to extract insights and support data-informed decision-making. Apply state-of-the-art ML methodologies, including deep learning and modern frameworks, to build robust models. Take ownership of key system components and influence the broader technical strategy. Collaborate with cross-functional stakeholders to design deployable, production-ready ML solutions. Mentor junior scientists and engineers, fostering team expertise and growth. Contribute to organizational technical leadership through patent filings and publications in top-tier venues. Requirements: 5+ years of experience in applied Machine Learning. Master's degree or PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related field. 3+ years of experience building, deploying, and managing ML and deep learning models in production at scale. Strong knowledge of algorithms and techniques such as gradient boosting, deep neural networks, transformers, and optimization methods. Experience in Computer Vision; experience in Causal Inference is highly desirable. Expertise with Python scientific libraries (NumPy, pandas, Polars) and ML frameworks (PyTorch, TensorFlow, Keras, Scikit-Learn). Strong data engineering skills and comfort working with large-scale datasets. Experience with big data tools (Apache Beam, Kafka, Spark). Experience with cloud platforms: AWS, GCP, or Azure. Fluency in Python and SQL. Preferred Qualifications: PhD in CS, ML, AI, Statistics, OR, or related fields. Experience applying ML to real-world retail industry problems. Familiarity with modern MLOps tools and pipelines. Impact-driven mindset and commitment to delivering high-quality models. Demonstrated leadership capabilities with experience guiding or managing technical teams.

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