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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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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Minimum Qualifications: 3+ years of professional experience in software engineering, using Python technologies Prior professional experience working with machine learning engineers and data scientists Experience with JavaScript frameworks such as React and TypeScript Professional experience with Spark and/or PySpark Prior experience with Gen AI tools such as GPT or BERT is a plus.
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Works on JP Morgan flagship technology product, Athena, which is one of the largest Python code bases in the world (50+ million lines of code). Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Leverage computer vision, NLP, GenAI, entity resolution, Deep Learning to create the best Consumer facing menus for Merchants.
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Familiarity in any of the following languages or applications, Java, JavaScript, C#, Python, Rust, Go, Kotlin, Node.js. Internship project areas range from machine learning, using big data, native mobile applications, backend services, full stack web applications, or UX/UI focused development.
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Experience working with backend programming languages (Kotlin, Python). Strong fundamental knowledge in at least one of the following: machine learning theory or systems. Familiarity with algorithms for decision-making under uncertainty, including Bayesian networks, Markov decision processes, or reinforcement learning.
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Scope, prioritize, prototype and deliver AI projects to help solve key business problems for Discretionary Equity, spanning both on-premises and AWS environments, and leveraging technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and using programming languages such as Java, Python, and SQL.
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Proficiency in a wide range of web development technologies and languages, including JavaScript, React, Node.js, and Python in addition to professional experience in C. AI Integration: Contribute to the integration of AI and machine learning algorithms into the platform, providing data-driven insights and predictive analytics.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. - We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Staff MLE - Content Recommendation, Content DiscoveryLocation: SF Bay Area, New York City, Seattle, LAAbout You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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Bachelor's degree in a technical subject (e.g. computer science, machine learning, mathematics, physics, statistics, econometrics), or equivalent experience. Experience building RESTful APIs (preferably in Flask, FastAPI, or other Python frameworks.
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5+ years of professional experience as a Machine Learning Engineer, Data Scientist, or in a similar role, with a focus on personalization, sales, and marketing. We are seeking a highly motivated and innovative Machine Learning Engineer to join our team.
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As an engineer at Kira, you will lead crucial projects and initiatives that have never been done before, and you will have the opportunity to help us build products that improve teaching and learning experiences across the world.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Writes secure and high-quality code using the syntax of Python programming language with limited guidance. 3+ years of Python Programming experience. As a Software Engineer II at JPMorgan Chase within the Corporate Technology - Market Risk, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way.
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learning python jobs Title: engineer in Newark, NJ
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