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Postdoctoral position in machine learning for biomolecular simulation and modeling. Proficiency in machine learning, particularly in deep learning frameworks such as TensorFlow or PyTorch.
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Preference will be given to candidates with experience in patent prosecution related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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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.
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Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Omni-Channel, Chatbot, and/or Conversational IVR experience.
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Work with clients to design, develop, and deploy new architectures for machine learning & automation applications such as ELT functions, HPC/compute infrastructure, hybrid cloud solutions, database management, and optimization of DevOps procedures.
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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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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Nice to have:Experience in a sales support role, within Data Science, Machine Learning, or AI.Familiarity with leading data platforms like Databricks and Snowflake, and their basic services.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Develop innovative Azure-based solutions that leverage machine learning, artificial intelligence, and cloud technologies to enhance healthcare data management and analytics. Expertise in healthcare data governance, including Data Quality, Master Data Management (MDM), and Metadata management within Azure environments.
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A thorough familiarity with Machine Learning or Generative AI methodologies, leveraging platforms like Microsoft’s Semantic Kernel, Google’s Vertex AI, or the Open AI API. Proficiency in utilizing front-end and back-end development tools and libraries such as React, Angular.
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Design, develop, and implement automation and robotics solutions, including but not limited to robotic process automation (RPA), machine learning, artificial intelligence, and other advanced technologies.
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applicationsThe essential requirements of the job include: Master's degree in electrical/computer/biomedical engineering.
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Hands-on experience with AI technologies, such as machine learning, natural language processing, and computer vision, applied to software testing. ·Mentorship: Provide guidance and mentorship to junior test engineers, fostering a culture of continuous learning and innovation.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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