Applied Scientist

Applied Scientist - Detalhes da Vaga. ● The Senior Applied Scientist will own the development and deployment of machine learning solutions while influencing the technical direction of the team. ●This role works closely with Tech Leads, Product, and Engineering partners to design and deliver scalable, data-driven solutions. ● The ideal candidate brings deep expertise in Computer Vision and Machine Learning, along with a strong focus on building robust production-ready systems and mentoring team members. ●Responsibilities- Develop and deploy Computer Vision and Machine Learning solutions to solve business problems. ●- Maintain clean, efficient, and scalable code that meets industry standards. ●- Analyze large datasets to extract actionable insights and support informed decision-making. ●- Apply state-of-the-art Machine Learning methodologies and frameworks to develop robust and scalable models. ●- Influence technical direction and take ownership of key system components and solutions to ensure business needs are met. ●- Collaborate with key stakeholders to develop data-driven solutions and deployable products. ●- Mentor team members and help establish domain expertise across the team. ●- Contribute to the companys intellectual property and technical leadership through patents and publications at top-tier conferences and journals. ●Requirements- 5+ years of industry experience in Computer Vision and applied Machine Learning. ●- Masters degree or PhD in Computer Science, Machine Learning, Statistics, or a related field, or 8+ years of equivalent industry experience. ●- 3+ years of experience building, deploying, and managing machine learning and deep learning models in large-scale production environments. ●- Deep understanding of Computer Vision and Machine Learning algorithms and techniques, including CNNs, transformers, GANs, optimizers, and regularization, as well as experiment design and best practices such as A/B testing, training and serving pipelines, and feature engineering. ●- Extensive experience with scientific Python libraries such as NumPy and pandas, and Machine Learning frameworks including PyTorch, TensorFlow, Keras, and Scikit-Learn. ●- Strong data engineering skills and experience working with large-scale datasets. ●- Experience with experiment automation frameworks such as Ray Tune, Weights & Biases (W&B), and Kubeflow. ●- Experience with cloud technologies including AWS, GCP, or Azure. ●- Fluency in Python. ●Preferred Requirements- PhD preferred in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Operations Research, or a related field. ●- Background applying Machine Learning techniques to solve real-world business problems in the retail sector. ●- Familiarity with MLOps tools and pipelines. ●- Impact-focused mindset with a passion for delivering high-quality models. ●. Requisitos para participar do processo. ● . O que oferecemos.