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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
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Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science.
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Experience with developing data APIs, Microservices and event driven systems to integrate ML systems. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more! Adoption and Surrogacy Assistance Plan! Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Experience with Git, CI/CD pipelines, Docker, Kubernetes.
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As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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We are a growing subsidiary of a large public company that is hiring a talented Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer Needed for Growing Subsidiary of a Large Public Company.
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Softrams is seeking a Machine Learning Engineer for a position supporting federal clients in the Baltimore-Washington metro area.
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Serving as a subject matter expert regarding the latest industry knowledge to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.
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Design, configure, and program various instrumentation and control systems, including Distributed Control Systems (DCS), Programmable Logic controllers (PLC), Variable Frequency Drives (VFD), Human-Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) systems.
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Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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You have 3+ years of experience as a Data Scientist or Machine Learning Engineer. We’re looking for a Machine Learning Engineer to join our team and help set the foundations of the company.
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machine learning systems engineer jobs Company: Amazon Web Services Inc
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