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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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A PhD degree in Machine Learning or Deep Learning is a massive plus. Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Programming Languages: Python, R, SQL, Java or Scala, SQL. As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals.
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We do everything from data collection to UI/UX development and advanced deep learning, using a broad toolset including Python, C#, and ArcGIS. Our projects include cutting-edge R&D efforts, as well as large mission programs incorporating data processing/optimization, data dissemination techniques, visualization, and collaboration across the commercial and government sectors.
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As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do:Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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You have experience with deep learning library like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and/or Hadoop. You have/had hands-on experience with Python, Java or Scala and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.
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DevSecOps: Jenkins, Docker, Kubernetes (Rancher), Git, GitOps, GitLab/GitHub, CI/CD, Conductor, Kafka/Zookeeper, Consul, CMDB. Cloud: AWS (ECS, S3, RDS, Athena, Glue), VMWare. utilizing the latest technologies, tools, and methodologies in microservices, DevSecOps, and big data analytics.
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Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. Proficient in programming languages such as Java, Kotlin, Swift, or Objective-C.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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You have 5+ years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Demonstrated proficiency in programming languages such as Python, Java, or similar, along with expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and data processing technologies.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Deep expertise in at least one of the following: Supervised and Unsupervised Learning, Classification Models, Cluster Analysis, Neural Nets and Deep Learning, Natural Language Processing, Multivariate Statistics, Markov Models.
$119,000 - $202,000ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience in advanced analytics tools (Python, R) along with applied mathematics, ML, Deep Learning frameworks (such as TensorFlow), and ML techniques (such as random forest and neural networks.
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As a Senior Machine Learning Engineer you are someone who has significant expertise in modelling, statitics and programming. 2+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages.
$185,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience in applying transformer-based deep-learning techniques to challenging NLP problems. Experience with Java (or Kotlin/Scala) and/or a functional programming language. You will be working alongside team members with deep technical expertise in NLP, top medical professionals (MDs, pharmacology PhDs, and others), and an experienced product team.
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Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue). Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
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