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Two years of experience utilizing in Cloud computing: GCP (Google Cloud Platform), AWS (Amazon Web Services) or Azure. PhD degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics or a related field; coursework or academic research to include image identification or artificial intelligence.
$162,800 - $244,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.) A Glimpse into the Daily Routine of a Machine Learning Engineer.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform) for machine learning development and deployment. As the Lead Machine Learning Engineer, you will play a key role in driving the development and implementation of machine learning models and solutions to solve complex problems and drive innovation across our organization.
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Als Senior Machine Learning Engineer ben je verantwoordelijk voor het toepassen van AI-oplossingen binnen Azure omgevingen. Machine Learning Engineer Inhouse | Milieu | Azure.
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As a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency.
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Hands-on experience with cloud services (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). We are seeking a highly skilled and experienced Machine Learning Engineer with a strong focus on model design and optimization, and a proven track record of deploying machine learning models in production environments, serving real applications.
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As the Senior Machine Learning Software Engineer you will be responsible for diving into the nuance of Etsy’s fulfillment data to generate ML solutions that help generate real-world predictions for complex calculations such as delivery speed and cost.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. 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.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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The Senior Machine Learning Engineer we are seeking will be able to build and scale machine learning models to solve the many business problems emerging from Olo’s digital platform and ecosystem.
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AI/Machine Learning Engineer, Manager Consultant. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and knowledge of deploying and managing machine learning models in cloud environments is a plus. Strong programming skills in languages such as Python, R, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, sci-kit-learn.
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The Data Engineer builds pipelines that are used to transport date from a data source to a data warehouse. A Data Engineer also interfaces with other technology teams to extract, transform, and load [ETL] data from a wide variety of data sources.
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Experience with cloud technologies (GCP / AWS / Azure) As we strive to explore the boundaries of what is possible in the realm of machine learning, we aim to disrupt the way people build and use software and deliver the ultimate value to Pendo’s customers.
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Proficient in cloud environments such as AWS, GCP, or Azure. Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps.
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azure job Title: machine engineer in Weehawken, NJ
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