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At least 5 years of experience in AI, machine learning, or data science, with hands-on skills in Python, R, or other programming languages. Ace Hardware Corporation seeks experienced and driven technologists with a strong blend of business acumen, strong interpersonal skills, and technical expertise in analytics, big data, machine learning, and generative artificial intelligence.
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Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch,. Required Skills & Experience Design, develop, and maintain scalable data pipelines and ETL processes using both Java and Python within a Hadoop ecosystem (HDFS, Hive, Spark.
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5+ years of experience in data science or a related field Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Data bricks, and Azure Synapse Analytics.
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Primary responsibility will be to work closely with the Data Architects and Machine Learning Team to implement data solutions for the organization using Python, Java, Kafka and other big data solutions, creating technical specification documents and test plans.
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Collaboration with AI/ML Experts: Collaborate with AI/ML experts across domains such as Computer Vision, NLP, Forecasting, LLMs, and synthetic data. Our more than 700 technology specialists in the United States, Canada, and India have extensive knowledge and experience working across all the leading cloud and data platforms, with a strategic focus on Google Cloud and Salesforce.
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We are looking for strong research engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Central to Data Production is the HIPE application ( Human-in-the-Loop Processing Engine ), which uses sophisticated machine learning and carefully-designed UI/UX to help experts quickly and accurately extract data from medical records as we receive them.
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Electronic, information technology, machine learning, malware, photonics, processor, programming, software. - Have the opportunity to publish work externally at top machine learning, computer vision, graphics, and robotics conferences (NeurIPS, CVPR, SIGGRAPH, CoRL, etc.
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Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Computer Vision, Reinforcement Learning, or Machine Learning in general.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Experience designing and developing automated dashboards using data visualization tools such as Grafana or Looker to monitor operational metrics.
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Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models. Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
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Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles and countless others.
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Expert Python developer using many different machine learning and data science frameworks. Knowledge in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods.
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Leverage your knowledge of MLOps (Machine Learning Operations) to streamline the deployment, monitoring, and management of machine learning models and collaborate with data scientists and engineers to create robust pipelines for model training, testing, and deployment.
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data machine learning jobs in Wheaton, IL
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