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Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc. 10 years of experience as a technical consultant, technical pre-sales engineer, enterprise architect, or in a customer-facing role.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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Aeronautics, Algorithm Development, High Performance Computing, Electronic Warfare, Machine Learning, Modeling/Simulation, Sensors Integration, Software Development/Design, System Engineering, Aerospace, Avionics, Autonomous Systems, Data Analytics/Science, ISR & Tactical Systems.
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Design and develop Computer Vision, Natural Language processing and Machine Learning algorithms, in large-scale production systems and assess solutions performance with statistical analysis.
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Expertise in using Databricks for scalable data engineering and machine learning workflows, leveraging its collaborative environment and optimized Spark clusters for accelerated development and deployment cycles.
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Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java). Lead the design and development of advanced machine learning models to solve business challenges, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.
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Machine Learning Engineer with ABBYY. 2+ years of developing and deploying machine learning systems into a production environment. Work with the Agile Program Manager (APM), Business Owner, and Business Systems Analyst (BSA) to accurately capture stakeholder requests and system specifications and translate them into engineering artifacts, which typically include design specifications, source code, test scripts and test results.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Working closely with serial entrepreneurs and seasoned leaders who have scaled companies like Robinhood, Amazon, LinkedIn, Wayfair, SoFi, Microsoft, etc.
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Experience using public cloud computing from Microsoft Azure, Amazon Web Services or Google Cloud PlatformExperience in software product development in a product management, or analytics development (data science, machine learning) roleProven data literacy — The ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options.
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Ensure steady process of transfer of advanced technology research (GenAI, LLM & SLM, machine learning, text & data mining) into core product development roadmaps. Ensure steady process of transfer of advanced technology research (GenAI, LLM & SLM, machine learning, text & data mining) into core product development roadmaps.
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New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning EngineerRemote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer.
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You have a Bachelor’s Degree in Computer Science, Machine Learning, Data Science, or equivalent experience. Collaborate with the Data Science and Machine Learning teams to gather requirements, and work through implementing solutions.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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machine learning jobs in Atlanta, GA
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