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Optimize machine learning pipelines for performance and scalability using LangChain for natural language processing tasks. TheMachine Learning Engineerrole requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments, and also being part of customer success teams.
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Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions.
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REiLI, Fujifilm's artificial intelligence initiative, combines Fujifilm's rich image -processing heritage with cutting-edge AI innovations to inspire a new tier of clinical confidence.
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This Instructional Designer will help design, develop, and implement cutting-edge development programs that build competence and confidence in our associates. Experience with Agile Learning Development or the Successive Approximation Model (SAM.
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Proficiency with JVM language (Java/Kotlin) and experience in PythonExperience in NLP, ML-Ops and data pipelinesExperience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learnStrong understanding of ML Algorithms, Statistical techniques, and data analysis methodologiesExperience with Data processing, feature engineering and model evaluation techniques.
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Proven experience in machine learning, with a strong focus on Natural Language Processing (NLP). Experience with cloud platforms like Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
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Qualifications Minimum Qualifications – Education and Experience Bachelor's degree in natural, physical, or forensic science from an accredited college or university with the successful completion of at least 40 semester hours (or 60 quarter hours) of coursework in natural sciences (Biology, Chemistry, Physics, etc.
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Consult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc. Ideal for those with a passion for AI-driven business transformation, you will lead the way in integrating cutting-edge AI solutions in a dynamic, multifaceted business environment.
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We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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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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Are you ready to revolutionize eye care in the world of Telemedicine and join a team dedicated to providing top-notch services with cutting-edge technology? This is a PART-TIME, WEEKEND ONLY (SAT/SUN) REMOTE role for an Optometrist, MUST be currently licensed in the state of MA or willing to get licensed before starting, licensing fees will be paid by employer.
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Side-by-side selling to find personalized solutions beyond the bare-bones device and service plan that keep our customers connected to the people and lifestyle they love, including anything from unique accessories to cutting-edge IoT devices.
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This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments and also being part of customer success teams.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications.
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learning natural language processing cutting edge jobs Company: University Of Wisconsin in Atlanta, GA
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