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The Verification Lead Will Specify And Develop New Hardware Verification Test-benches For Current And Future Generation ICs For The Cryptocurrency, High Performance Computing (HPC) And Artificial Intelligence/Machine Learning Markets.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of dependency management (Poetry), machine learning pipelines, SQLAlchemy, and timeseries datastores. Skills in React, Vue.js, FastAPI, Django (or similar API frameworks), Git, Containerization (Docker), SQL (Postgres), Orchestration, and IaC (Kubernetes, Terraform, CloudFormation.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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.
$204,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Nice to have technical skills: Statistics, Machine Learning, Data Analytics, R, SAS, SQL, Python. You will experience a blended learning environment which includes mentorship, job shadowing, and expanded networking opportunities with leaders and within our Employee Resource Groups such as the Young Professionals Network (YPN.
$71,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Deep expertise in data science, machine learning, and statistical modeling techniques applied to marketing, customer service, and supply chain functions. Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake.
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Working knowledge of Data Science and Machine learning including tools like Python and associated libraries. Basic understanding of reinforcement learning, NLP, cloud-based AI services, large data-driven services and Generative AI solutions (e.g., Azure AI Studio, AWS Bedrock, Hugging Face.
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And are familiar with machine learning frameworks such as TensorFlow or PyTorch. You bring 6+ years of experience in developing machine-learning-driven computer vision systems, preferably in the robotics or autonomous systems field.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Model Development: Develop and optimize machine learning models using Python, numpy, scipy, pandas, Spark, and Jupyter notebooks. Data Engineering: Expertise in building data pipelines, including synthetic data generation and web scraping.
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At least 5 years work experience in a supervisory data science or machine learning role. Post-bac training in data science or machine learning. The Machine Learning Platform provides soft infrastructure support to Visa’s data scientists and researchers.
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As an EY IT Senior Analyst, you will engage in discussions on the development of innovative software applications including areas such as software architecture design, Artificial Intelligence (AI) and Machine Learning (ML), cybersecurity, Blockchain and Distributed Systems, telecommunication, cloud computing and virtualization, data science and big data, and other high-tech fields with a host of industry leaders.
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Ztek Consulting Inc is a minority- and woman-owned business enterprise that leverages a unique blend of human talent, machine learning algorithms, and artificial intelligence to provide customized talent management solutions for clients.
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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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As a key contributor to the validation of AMD's GPU based datacenter accelerators, you will work in cross-functional teams to deliver industry leading products for Artificial Intelligence (AI), Machine Learning (ML), and High-Performance Computing (HPC) applications.
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