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Growth Potential: Developing a strong foundation in data analytics paves the way for career growth into advanced roles such as data scientist, machine learning engineer, or data engineer.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Work with other data scientists to evolve, optimize and integrate machine learning models.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, Scikit-learn). Strong knowledge of machine learning techniques, statistical analysis, and predictive modeling.
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We are doing this with an emphasis in the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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PhD with 3+ years’ experience in Statistics, Computer Science, Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision research and development.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Master's degree or PhD in statistics, computer science, mathematics, or a related field, preferably with a focus on data science or machine learning. Design and implement advanced machine learning algorithms and models, including deep learning approaches.
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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization. Applicants must be well versed in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization.
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Modern data mining and machine learning methods. Develop and apply machine learning and advanced analytics algorithms to solve problems you’ve never seen before. Experience with supervised and unsupervised machine learning methods.
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Expertise in designing and implementing machine learning models for healthcare applications, such as predictive analytics, clinical decision support systems, or personalized medicine. You have a solid background in data science, machine learning, and software architecture, with a specific focus on designing and implementing data-driven solutions within the healthcare industry.
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If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you. Preferred skills Deep Learning.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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7-8 Years of strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization. Experience deploying machine learning models in production (e.g., CI/CD pipeline development; containerization using tools such as docker, podman, or Kubernetes; Git.
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Has strong expertise in areas such as Machine Learning, Deep Learning, Large Language Models, Recurrent and Convolutional Neural Networks, Generative Adversarial Networks, Graph Neural Networks, Causal Inference, or similar frameworks for developing machine learning models.
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Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms. Apply data science techniques including machine learning, AI, and statistical modeling across multiple functional areas of the organization to drive improved decision making.
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scientist machine learning jobs in Indianapolis, IN
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