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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. 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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Electrical Consultants, Inc., a leading power engineering consultant firm, has immediate openings for a project surveyor in Austin, TX. ECI specializes in engineering services to electric utilities (substation, protection, transmission) alternative energy systems, communication, oil/gas, mining and heavy industry.
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Faxed applications must be complete and legible in order to be considered and must not have been sent from a fax machine located at a TDCJ unit or department. Bachelor of Laws (LLB) or Juris Doctor (JD) degree.
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Extensive experience in developing and implementing AI algorithms and models, leveraging machine learning techniques such as deep learning, natural language processing. Experience in leveraging continuous integration and robust build/test automation, with a preference for cross platform stacks and containerization (Azure DevOps, GitHub Actions, JFrog Artifactory.
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Machine-learning, statistical analysis, artificial intelligence, predictive analytics. Data-related fields of work: data (ETL) pipeline design and build, data management platform support, data mining, data analytics, data warehousing (including dimensional modeling), ETL tools and cloud platforms.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C. Expertise in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR.
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Carpentry, painting, plastering, masonry, plumbing, electrical repairs and installations and machine servicing. Carpentry, painting, plastering, masonry, plumbing, electrical repairs and installations and machine servicing.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Strong working knowledge of deep learning, machine learning and statistics.
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As part of our Data Governance, Quality and Operations team, you’ll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.
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Strong understanding of AI technologies and their security implications, including machine learning, deep learning, and neural networks. Demonstrated leadership abilities, with a track record of successfully leading cross-functional teams and driving security initiatives to completion.
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Athena Platform Services (APS) is looking for a talented Software Data Engineer to play a meaningful role in building data services and platforms that run machine learning analytics to prevent fraud, waste and abuse across Apple.
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Using industry-leading data engineering, process mining and automation platforms, they help large enterprises become more process-efficient and improve their end-customer experience by incorporating the use of RPA, AI & ML powered solutions.
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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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What you’ll bring to Circle: 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.
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machine mining jobs Company: Walmart in Texas, TX
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Learning to recruit passive candidates is a different ballgame than recruiting active ones. While an active candidate is someone who is currently looking for a new job, a passive candidate tends to be the opposite. Passive candidates are either already working or not looking to work. So, instead of these candidates coming to you, you'll have to find them and reach out to them first.
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Money alone makes it hard to attract and retain top-notch candidates, especially when you are competing with larger businesses and corporations in your industry. So, instead of focusing on money, figure out how to make a job offer more competitive when you can't offer more money.
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