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Ability work with stakeholders to drive project ideas and turn them into rigorous solutionsExpert knowledge of Python and SQLDesired CharacteristicsWorking experience with product teams to deploy prescriptive machine learning models to drive one or more KPIs. Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.
$185,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Experience as a user or implementer or Treasury Management Systems and Payment tools is preferred; some examples are Quantum, Integrity, Kyriba, GTreasury, Trax, Bottomline Technologies among others.
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Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives. Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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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. Organizational Skills: Exceptional project management abilities, capable of managing clients, internal stakeholders, project and product team members, and project timelines effectively.
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Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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Growth stipend: We believe learning is the key to winning, so we offer an annual learning budget of $1,200 per person to spend on courses, conferences, coaching, or whatever you think will help you improve and grow as a software engineer.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, Statistics. Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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As machine learning engineer, you’ll contribute to our ML research and development in areas including data collection, data curation, continued pre-training, ablation studies, evals, creation of hand-crafted supervised fine-tuning data, preference optimization, and state-of-the-art reinforcement learning research.
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This role focuses on developing, deploying, and managing scalable machine learning solutions within our tech stack that includes Snowflake, dbt, Python, Kubernetes, and Java. The ideal candidate will have a strong foundation in software engineering and data infrastructure, as well as a proven ability to implement efficient, scalable, and robust decisioning platforms.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Work Experience: + years in Model Development and/or Validation of, Compliance, transaction monitoring, Below the Line testing, and Risk Management function at an investment bank or hedge fund.
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Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics. Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics is required.
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This is an ideal role for someone who thrives in ambiguity and has a consistent track record of contributing to the product strategy and roadmap for a complex machine learning problem space.
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machine learning product management jobs Title: data engineer in New York, Fernley, Nevada
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