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Join our team as a Machine Learning Engineer, where you will play a pivotal role in leveraging data-driven solutions to drive innovation and business impact. Reporting to the Director of Data Science, you will collaborate with cross-functional teams to develop and deploy machine learning models that solve complex problems and drive actionable insights.
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Preferred qualification participating in large-scale online machine learning platforms are preferred Good programming skills and a deep understanding of data structures and algorithms Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems Experience in anomaly detection area is a plus.
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Proficiency in at least one of the following deep learning framework, tensorflow, pytorch Proficient in core technologies like Spark, Hadoop and Hive. Proficiency in at least one of the following programming languages, Python, scala, Java. 5 years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection.
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Responsibilities Lead the design, development, testing, deployment, and support of machine learning (ML) models in a cloud environment. The Security Machine Learning squad is responsible for the design and development of online and offline machine learning (ML) features and models to detect malicious traffic and activity across the Identity Engineering platform using state of the art algorithms and tools.
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OneStream unleashes organizational value by unifying data management, financial close and consolidation, planning, reporting, analytics, and machine learning. PREFERRED EDUCATION AND EXPERIENCE Customer Success Manager within the Financial Services or Banking Sectors for SaaS company.
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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
$80 - $90 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization. - Conduct ongoing research to stay abreast of the latest developments in machine learning, deep learning, and data science, and apply this knowledge to enhance project outcomes.
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Digital Core Tech@Lilly is actively looking for an AI Machine Learning Engineer to spearhead our efforts in the development and deployment of machine learning models that enhance predictive analytics and decision-making across multiple processes and systems in pharma.
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Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. Contributions to open-source projects related to data science and machine learning.
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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
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Projects in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Audio Processing, Computer Vision, or other related fields. Our solution is built off of proprietary machine learning models trained on 10M+ documents to determine if text was generated by ChatGPT or other public LLM tools.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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You’ll be responsible for delivering best-in-class data solutions leveraging a large dataset, contributing to the advancement of scaling Data Services, and enabling Machine Learning experiences.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
machine learning financial services jobs Title: data engineer Company: Nustar Energy
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