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Research and apply emerging forms of statistical, machine learning (neural networks / deep networks, ensemble methods, natural language processing, computer vision) and engineering methods to Royal Caribbean Cruise Lines, data science and AI ecosystem.
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Our core offerings Bidder-as-a-Service (BaaS) and the Beeswax DSP provide clients with agility, custom optimizations, and extensible APIs. We are looking for a Machine Learning Engineering with an in-depth working knowledge of the latest in Machine Learning/Data Science technologies and cloud platforms to join our Optimization team, which have three defining pillars: machine learning, software engineering, and machine learning operations (MLOps.
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Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. Work with databases, cloud computing, or application development/support would be particularly relevant.
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The Bioinformatics Scientist is responsible for analyzing antibody selection data from yeast display, implementing machine learning algorithms to enhance data analysis and lead selection, and managing the data pipeline from raw file processing to database storage.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
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Patent Prosecution Attorney or Agent – Artificial Intelligence/Machine Learning + Cloud Computing. Ideal candidate would have at least 3 years of industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing.
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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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At least 5-10 years’ directly related experience in computer applications, large scale computing frameworks, data analysis systems, machine learning techniques, data engineering, and pipeline design for clients for real world problems.
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Hands-on experience with at least one cloud platform (AWS or Google Cloud) and at least one modern big data product such as Databricks, Snowflake, and BigQuery. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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At least 6 years of experience in software engineering (Internship experience does not apply) We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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software engineering cloud computing data machine learning jobs Title: software Company: Autodesk
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