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Knowledge of AWS Machine Learning Offerings, knowledge bases and Bedrock will be a plus. Experience with a variety of services such as Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS, SES etc.
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Experience with Airflow, and with the administering and configuring Amazon Managed Workflows for Apache Airflow (MWAA). In this role, an employee will work with data engineering, data analysts, business stakeholders and data scientist team(s) to help the organization build out secure, scalable, fault-tolerant and high performing cloud-based application services.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
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As an data scientist III with a focus on machine learning at Sam's Club AI Lab, you will work closely with tech leads and scrum leads to deliver impactful business results through your data science competencies.
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Experience with Industry 4.0 key concepts – connectivity, data collection, IIoT, systems integration, AI, machine learning, IS95, Pub/Sub. Experience using industrial communication protocols such as Modbus/TCP, MQTT, EIP, SECS/GEM, etc.
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Solid understanding of machine learning algorithms and their applications in NLP. Collaborate with data scientists, machine learning engineers, and software developers to understand requirements and design effective prompt generation solutions.
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Proven expertise in building machine/deep learning models using common frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, TensorFlow, XGBoost, etc. 5+ years of experience in data science and machine learning development (2+ years with a master’s degree.
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Two (2) to three (3) years of software engineering experience, preferably involving real-time systems, firmware, biomedical devices, network programming, machine learning, data engineering/analytics automation.
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As a Product Owner for Gen AI Initiatives, you will be at the forefront of driving transformative projects leveraging cutting-edge technologies like Data Science, Artificial Intelligence (AI), and Machine Learning (ML.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Center 1 (19052), United States of America, McLean, VirginiaLead Machine Learning Engineer (Remote-Eligible)As a Capital One Machine Learning Engineer (MLE), you. ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Experian EITS is looking for an experienced machine learning engineer who will play a key role in bridging data science and engineering by implementing solutions to develop tools, standards and services that provide a global platform for machine learning (ML/AI) in the cloud.
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Suppose you are open to learning while being a valued member of a team of premier engineers. In-depth technical expertise in one or more areas - DRAM memory array design, high-speed clocking and interface development, analog circuit design, digital/logic and custom circuit design, power delivery optimization, CMOS & semiconductor device physics, 2.5D and 3D packaging technologies.
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We're looking for a Machine Learning Engineer who is ready to dive into the dynamic fields of digital identity, and fraud. 5 years of experience as a machine learning engineer.
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Take full ownership (design, verification, and documentation) of the development of FPGbased IP related to sensor and application interfaces, machine learning, and NOC functionality. In-depth knowledge of FPGA architecture, design, verification, and debug (AMD, Intel.
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machine learning jobs in Mckinney, TX
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