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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
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4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role. As a Senior Machine Learning Engineer, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations.
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The Principal Product Manager will enable a thriving community of learners to enrich the learning experience and help transform the future of UCLA's teaching and learning at scale. The Principal Product Manager will positively impact University culture by working together with organizational leadership to use insights and data to deliver academic technology services comprehensively and consistently across the University.
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The R&D team is made up of an incredibly diverse set of skilled researchers and engineers with different areas of expertise including Autonomous Navigation, Perception and Computer Vision, Human-Robot Interaction and NLP, Manipulation and Control, Mechatronics, and Cloud Computing.
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In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
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The President, with their strong leadership team, will focus on achieving the University's core mission to cultivate and amplify students' unique talents, diverse life experiences, and intellect through engaged teaching, learning, scholarship, research, and public service that support their overall success, well-being, and the greater good.
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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5 years of experience with Clarity PPM reporting, developing data dashboards, charts and datasets in Clarity. 5+ years in a Data Analyst and/or Data Scientist capacity. Evolve our data collection capabilities, analytics and reporting process as the business evolves and grows by optimizing strategies, implementing databases, and managing security, data sources and metadata.
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Crane Aerospace & Electronics is hiring a Machine Operator - 2nd Shift for our Hone, Lap, and Grind (HLG) Team in Burbank, CA. Skills/Abilities: Problem solving, troubleshooting, and simple machine maintenance skills; Ability to understand oral and written instructions pertaining to work related matter, and to.
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Expert in Cloud & Data Technology and the market trends within GCP, Azure, AWS, Data Bricks & Snowflake ecosystems. Skills Needed: Blend Between Technology Consulting & Engagement Management Within Data Solutions Ideally someone who comes from consulting background, no specific industry needed Someone not far removed from Modernized Data Environments & Tech This person is Not an Architect, Engineer or Delivery Manager, but most likely used to be pre leadership Not looking for an Account Manager, Business Development Director or Project Manager 15+ Years Of Exp Min.
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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines. As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on.
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Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms. Proficient at machine learning algorithms, familiar with algorithms like Generalized Linear Model, Random Forest, CART, and/or deep learning.
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Python, Shell Scripting and Linux-based operating systems with applications in machine learning and image processing. This individual contributor position offers the chance to work on cutting-edge projects that impact the diagnostics field profoundly, focusing specifically on the development and integration of advanced machine learning and AI technologies.
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You'll develop data integrations for our dental record management system, manage and organize training data for Machine Learning development, and evaluate cutting-edge machine learning technologies for dental X-ray analysis.
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We process 100s of billions of records per day, to support multiple business functions like business intelligence, data analytics, data science & machine learning, traffic quality and serving optimizations.
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