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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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The faculty members are excellent educators with practical and research expertise in machine learning, data science, artificial intelligence, information security, mobile networking, social networks, bioinformatics, etc.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Experience in assessing and implementing new data tools to enhance the machine learning stack.
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Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows. Expertise in Databricks, Apache Spark, and big data technologies.
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Leading: Mentor and guide junior engineers, fostering a culture of continuous learning and professional growthTHE ESSENTIALS FOR SUCCESS: BS or MS degree in Computer Science, Artificial Intelligence, Machine Learning, or other related degrees (e.g., Applied Mathematics) with a focus on Machine Learning.
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Proficiency in data engineering tools and technologies such as Apache Airflow, Spark, Kafka, Hadoop, or similar. - Implement automated data pipelines using tools like Apache Airflow, Spark, Kafka, or similar technologies, ensuring data is processed efficiently and accurately.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Senior Machine Learning Operations Engineer.
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O Utilize expert level skills in Databricks, PySpark, Spark Structured Streaming, Delta Live Tables, and Delta Sharing for advanced data management. o Apply experience with streaming technologies such as Apache Kafka, Azure EventHubs, and Avro to enhance data processing capabilities.
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Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. PhD in Engineering or Science with preference in Quantum Computing, Physics, Electrical Engineering, or Computer Science.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Lead large transformations for former employers and has evolved & matured current Master Data Management, Data Governance, Data Architecture, Data Quality, Enterprise Data Management, and Data Design practices.
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machine learning apache spark data management computer science jobs Title: machine learning engineer
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