Chief Artificial Intelligence Strategist

Há 13 horas


Ituiutaba, Brasil Bebeemachinelearning Tempo inteiro

Technical Leader - Machine Learning Engineer">The machine learning engineer plays a pivotal role in shaping the technical direction of their team, spearheading the development and deployment of machine learning solutions that drive business growth.Lead the design and implementation of cutting-edge machine learning models to tackle complex business challenges.Develop and maintain high-quality, scalable code that adheres to industry standards, ensuring seamless integration with existing systems.Analyze vast datasets to uncover actionable insights, informing strategic decisions that propel the organization forward.Employ innovative machine learning methodologies and frameworks to create robust, efficient models that meet the evolving needs of the business.Influence technical strategy, assuming ownership of key system components to guarantee they align with business objectives.Collaborate closely with stakeholders to craft data-driven solutions and deployable products that yield tangible results.Mentor junior team members, fostering domain expertise within the team.Contribute to the company's intellectual property and technical leadership through patents, publications, and presentations at premier conferences and journals.Requirements:5+ years of experience in applied machine learningMaster's degree or PhD in Computer Science/ML or related field3+ years of experience building, deploying, and managing machine learning and deep learning models in production environments at scaleDeep understanding of ML best practices, algorithms, techniques, and experiment designExperience in price estimation, personalization, recommender systems, computer vision, fraud detection, marketing, or other relevant domainsExtensive experience with Python scientific libraries (NumPy, Pandas) and machine learning tools (Scikit-Learn, TensorFlow, Keras, PyTorch)Strong data engineering skills and experience working with large-scale datasetsExperience with big data tools (Apache Beam, Apache Kafka, Spark)Experience with cloud technologies (AWS, GCP, Azure)Preferred Requirements:PhD preferred (CS, ML, AI or related field)Background in applying ML techniques to real-world business problems in retailFamiliarity with MLOps tools and pipelinesPassionate about delivering high-quality models with significant impactDemonstrated leadership experience, with the ability to lead and inspire teams



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