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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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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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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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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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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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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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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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In this specific position, the analyst will focus on models built in house and by third parties with machine learning and AI technologies primarily for the purpose of Natural Language Processing and/or Generative AI. MRM operates in a fast-paced work environment with continuously changing policies and technologies and the ability to multi-task and meet strict timelines is critical.
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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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Statistical and Machine Learning Techniques Knowledgeable in Federated Machine Learning Techniques Advanced knowledge of statistical methods and machine learning algorithms for data analysis and predictive modeling.
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Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.
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Strong background in deep learning and machine learning. SUMMARY Sony AI’s Privacy Preserving Machine Learning (PPML) team is looking for smart and talented researcher interns with expertise in deep generative models and privacy-preserving machine learning techniques.
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Certifications Required : Certified Artificial Intelligence Practitioner (CAIP), Google Professional Machine Learning Engineer. Stay updated with the latest advancements in AI and machine learning to continuously improve solutions.
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Cross functional collaboration with other machine learning engineers and data scientists to drive requirements and create new models Implement and maintain ongoing prediction pipelines using tools like kubernetes, Airflow, KFP, and Vertex AI. Ensure best practices in ML engineering, including code quality, testing, and documentation.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Synechron is looking for a Vertex AI Machine Learning Engineer to join our Team in Irvine, TX.
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