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Collaborate with Product and backend engineering teams to ship high-impact featuresRequirements: 4+ years of experience in machine learning engineering with production systems using Scala, Python, and Apache Spark Experience owning recommendation or search models MSc or PhD in Computer Science, Statistics, Applied Mathematics, Physics, or other technical field.
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You’ll have the opportunity to work alongside other talented engineers, CTO, and data scientists on cutting-edge big data, search, machine learning and analytics problems.
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We are looking for an Omnichannel Data Scientist to apply strong expertise in artificial intelligence through the use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services.
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Artificial intelligence, recruitment, machine learning, data science, staffing, ai, community, podcast, Computer Vision, Deep Learning, data engineering, big data, automation, ServiceNow, splunk, digital transformation, executive search, data analytics, cybersecurity, software engineering, software development, and it.
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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. A Rater reviews the results returned in a specific search query and rates them in terms of relevance.
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Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
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Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video, and geo) across 500+ languages and dialects. As a Media Search Analyst, you'll play a crucial role in improving Siri, the Music App, Video App Store, and HomePod experiences.
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To achieve this, we work closely with various machine learning (ML) applied science teams dedicated to improving the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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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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As a part of the Center of Excellence for Data-Driven Discovery in the Department of Structural Biology at St. Jude Children’s Research Hospital, the Babu Group seeks a highly driven, full-time Postdoctoral Research Associate to develop computational pipelines and machine learning approaches to quantify obesity risk and predict its effects by leveraging large-scale omics data.
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We are particularly interested in individuals with a background in computer systems, big data pipelines, data management, machine learning, deep learning, statistics, HPC simulation and modeling environments with a good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in innovative research.
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Experience with Machine Learning tools (Scikit-learn, TensorFlow, PyTorch, NGS (next generation sequencing ) data formats (e.g. Bam, Fastq,) and Data pipelines (WGS, Broad GATF, nf-core.
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PhD in Computer Science or related fields with a focus on data management, big data, or Machine Learning with AI for science focus strongly preferred. Expertise with end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines (e.g., DVC, Pachyderm.
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You will work with PostEra’s team of engineers, machine learning researchers, and chemists to offer responsive, reliable, and secure data access and search solutions, iterating on existing solutions and innovating on novel improvements.
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