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TRAK Machine Tools (TMT) is a manufacturer of CNC controls and CNC machine tools for R & D, tooling, and low-volume machining applications. We integrate our CNC controls with machine tools and sell the finished products as turnkey systems under the respected brand names of TRAK and ProtoTRAK. We sell directly to users in much of the United States, with distributor sales in other parts of North America and Europe.
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Programming may be in areas such as DeFi, machine learning, data science, ESG, coding, on the technical side. MFE students are pursuing highly technical careers in areas such as quant trading, quant research, data science, machine learning, risk management among others.
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
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Responsibilities: Technical Leadership: Lead by example, contributing hands-on expertise in Python, Airflow, Snowflake, and AWS to develop scalable and efficient solutions. Job Title: Hands-On Engineering Manager Location: Newton, MA About Us: My client is a rapidly growing eCommerce beverage distribution company that achieved $200 million in revenue last They are at the forefront of revolutionizing the beverage industry by providing exceptional service and innovative solutions.
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Job Description The overall objective of the CNC Machine Operator, 3rd class position is to engage in all activities concerned with learning how to properly produce parts by operating a CNC machine, and ensure that jobs are completed and shipped as scheduled while meeting our quality standards.
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Programming: You are proficient in Python or other high level programming language with experience in using geospatial and machine learning libraries (eg., OpenCV, TensorFlow, PyTorch etc.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter. Our digital experience platform relies on unique algorithms paired with machine learning and data science to create digital experiences that accelerate the path to conversion, increase revenue, and generate customer loyalty.
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods.
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Expertise as evidenced by a strong record of peer-reviewed academic publications, combined with hands-on research experience in applications of machine learning, deep learning, natural language processing and algorithms is desired.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Hands on experience in implementing end-to-end machine learning projects. 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 timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. New York City (Hybrid On-Site): $149,000 - $149,000 for Data Science InternSan Francisco, California (Hybrid On-site): $158,000 - $158,000 for Data Science Intern.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review.
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hands on machine learning jobs Title: machine engineer Company: Dice in Parkville, Maryland
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