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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks.
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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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Center 3 (19075), United States of America, McLean, VirginiaSenior Lead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Bloomberg Media is looking for a dedicated and experienced Machine Learning engineer to join the Media Data Science team. Experience with public cloud platforms like AWS, GCP, and/or Azure.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g. AWS, GCP, Azure), related compute and storage systems, and with deploying machine learning models. We are seeking a talented and enthusiastic early-career Machine Learning Engineer to join our team.
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Previous engineering experience in Data Engineering, LLM's, Gen AI, or cloud platforms like AWS/GCP/Azure. Proven track record in machine learning, with a strong ability to innovate or improve existing ideas, ideally demonstrated through first-author publications or notable projects.
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As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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AWS, Google Cloud, and Microsoft Azure. We are looking for a Senior Software Engineer, ML Backend who is passionate about Machine Learning and AI. We’re looking for an exceptional Senior Software Engineer, interested in solving complex problems at the intersection of Data and ML.
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2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure.
$213,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Barrington James is seeking a talented Senior Machine Learning Engineer for one of our key clients based in Florida. Experience with cloud platforms like AWS, Azure, or GCP is a plus.
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As a Machine Learning Engineer at JPMorgan Chase within the AI/ML Solution Engineering Group, you will be presented with numerous opportunities to utilize your extensive knowledge and expertise across all aspects of the machine learning lifecycle.
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You have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, ansible, cloud formation, and salt stack.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Job Title: AI ML / Artificial Intelligence and Machine Learning Software Engineer.
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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.
$270,400 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer in the Digital Intelligence team, you will leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum.
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azure job Title: machine engineer in New York, NY
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