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Machine Learning Engineer II. Powering many of travel’s most recognized global brands, the team orchestrates marketing, commerce, customer service, data, AI/machine learning, and supply services from across the company into websites and mobile apps that capture customer traffic, turn shoppers into bookers, and engage travelers at every stage of their journey.
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Develop solutions for natural language understanding (NLU) and natural language generation (NLG) using machine learning and deep learning techniques. Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Experience with Machine Learning/Deep Learning Excellent verbal and written communication skills ACADEMIC CREDENTIALS: Bachelors or Masters degree in computer engineering/Electrical Engineering LOCATION: Austin, TX #LI-SL3 At AMD, your base pay is one part of your total rewards package.
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Description Regional Student and Family Services ManagerRole Mission:As a member of the Regional Leadership Team, the Regional Manager of Student and Family Services will oversee their region’s crisis and mental health supports, student persistence strategy, Social Emotional Learning curriculum implementation, and family engagement and support services.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Vestas is the energy industry's global partner on sustainable energy solutions. We consider ourselves forerunners within the industry, as Vestas continuously aims to design new solutions and technologies to create a more sustainable future for all of us.
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Participate in the On-Call support rotation of the Applications Team. This will require learning Orrick’s core application suite. Experience working with and trouble-shooting remote access platforms such as Cisco AnyConnect and Zscaler or similar solutions from a client perspective.
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Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Work on the cutting edge of tech-enabled learning and development solutions. With a $350 million ARR and 40% year-on-year growth, QA is a household name for learning and e-learning in the UK and Europe, while the US team operates like a start-up within the larger business on the back of the Cloud Academy and Circus Street acquisitions.
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machine learning solutions jobs Company: Leidos in Austin, TX
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