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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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As a Computer Scientist on the Fraud Team, you will be responsible for spearheading the development and execution of an innovative Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) strategy to combat various fraudulent activities, including bot attacks, Account Takeover (ATO) incidents, phishing schemes, theft, and product misuse.
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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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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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Excellent programming skills in Python, R, SQL and similar languages. Proficiency in statistical analysis, machine learning, and data mining techniques specifically applied to marketing problems.
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Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation and analysis. 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.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Optiver is seeking an Experienced Futures Trader/Researcher to join our High Frequency Trading Team. Our HFT team is comprised of Researchers and Software Engineers who focus on designing, improving and executing trading strategies using machine learning.
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The Principal Software Engineer - FPGA and DSP (Digital Signal Processing) will be responsible for the design and development of embedded DSP and software infrastructure IP blocks, targeting application areas experiencing increasing emphasis on the foundational and advanced communication algorithms and the associated signal processing for SATCOM/Telemetry/EW/Radar applications.
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Develop AI features, including natural language processing (NLP), LLM, RAG, Graph, speech-to-text and APIs. As a machine learning engineer you will be taking on both hands-on development and technical responsibilities as we scale.
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Backend Development: Design and implement backend services and APIs using technologies like Node.js, Python, Ruby on Rails, or Java. You’ll manage databases, authentication, data processing, and more, ensuring the application is secure, scalable, and performant.
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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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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Evaluates and reports key performance indicator outcomes of the speech language pathology and audiology department to the rehabilitation director to determine the need for action such as re-education or revisions related to the facility’s outcomes, regulatory compliance, practice act(s) and/or customer satisfaction.
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NLP and Machine Learning: Utilize advanced NLP techniques and machine learning algorithms to improve the functionality and capabilities of LLM-based applications. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
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machine learning natural language processing python r jobs Company: Synch Solutions in Austin, TX
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