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Experience building data pipelines (in Real-time and batch) on large complex datasets using Spark or Flink frameworks Experience with AWS services including EC2, S3, Glue, EMR, RDS, Snowflake, Elastic Search, Cassandra and Data pipeline/streaming tools (Airflow, NiFi, Kafka) You must have hands-on experience developing systems for the machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring.
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Position Title: School-Based Speech Language Pathologist Assistant (SLPA) Location: Austin, TX Job Summary: We are seeking a motivated and skilled Speech Language Pathologist Assistant (SLPA) to join our school-based team.
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What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Good understanding across multiple domains of forecasting, clustering, classification, econometrics, optimization, Bayesian statistics, neural networks, deep learning, natural language processing, LLM, and other machine learning and AI methodologies.
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Deep technical expertise in Generative AI technologies and methodologies, with a focus on large language models (LLM) and fine-tuning techniques. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
$55,200 - $291,400 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Gradient boosted trees, neural networks/deep learning, optimization) and a strong desire to further pursue natural language processing techniques, including LLMs. Evaluate and train Large Language Models (LLMs), traditional language models such as BERT, and other machine learning models such as XGBoost.
$156,400 - $215,050 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proven and documented understanding of AI concepts, machine learning, and tech led learning. As the Learning and Development Manager, you'll lead initiatives that foster professional growth and ensure our team stays current on the latest advancements in GenAI and other technologies.
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Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc. Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow. Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative.
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Key Qualifications: 7+ years experience building enterprise level applications on large-scale distributed systems Deep knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera In-depth understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Expertise in programming and developing high quality software.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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Minimum of 3 years' experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) + Digital Factory Strategy - Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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Proficiency Power BI, Tableau, Machine learning and model development. Use advanced Machine Learning deployment (XGBoost, Ensemble) and GenAI approaches. Experience with techniques and algorithms to include sampling, optimization, logistic regression, cluster analysis, Neural Networks, Decision Trees, supervised and unsupervised machine learning.
$130,815 - $252,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As an ASIC design manager, you will lead design team deliver some of the most innovative design in the cutting edge machine learning accelerator projects. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and the EC2 F1 FPGA instances, in storage with scalable NVMe, and now in AI and Machine Learning with AWS Neuron SDK, Inferentia and Trainium ML accelerators.
$157,600 - $272,400 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 10 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition.
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Experience with other Microsoft Tools such as Power Bi. Under supervision of the ROC Manager, the Operator will monitor and control computer and peripheral electronic data processing equipment to analyze data and remotely operate wind turbine generators, solar assets, and battery storage assets.
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