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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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, Machine Learning engineers for full time positions with clients.
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Technologies Available to Learn: React, Typescript, and Redux Toolkit Java, Spring and Flink Python, Machine Learning and AI NoSQL, SQL, and Data Warehousing Cloud Security Data Privacy Google Cloud Platform (BigQuery, Pub/Sub, Cloud Composer, Cloud Build, Cloud Run, Cloud SQL, BigTable, and more) How to Apply: If your goal is to become the best engineer you can be, please apply.
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Recommended coursework: cloud computing,compilers, database systems, distributed systems, functional PL, machine learning, networking. Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, and/or security software development.
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This individual will utilize ETL techniques, statistical analysis, machine learning/data mining techniques, data visualization skills and related tools/software to solve challenging problems.
$160,720 - $241,080 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Familiarity with common tools for machine learning (e.g. Mlflow, Tensorflow, PyTorch), reinforcement learning, (e.g., RLlib, Gym/Gymnasium), and transformer-based models for language.
$153,800 - $216,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We have a fast-growing team that's distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.
$150Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong understanding of machine learning concepts and techniques, including deep learning, reinforcement learning, natural language processing, and computer vision. Proficiency in programming languages such as Python, TensorFlow, PyTorch, or scikit-learn, with hands-on experience in developing and deploying machine learning models.
$120,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Machine learning and natural language processing tools. Experience with NoSQL solutions, Memcache/Redis, Kubernetes, or Google/AWS services. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
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We are seeking a skilled and innovative Machine Learning Engineer to join our team. Proven experience as a Machine Learning Engineer or in a similar role. Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
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Voltage Park is building a machine learning cloud infrastructure business from the ground up. A minimum of five years of experience in performance marketing using advertising platforms such as Google Ads, Facebook Ads Manager, LinkedIn Ads, Twitter Ads, etc.
$95,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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