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The Machine Learning Engineer 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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Successful machine learning engineers on the team are just as motivated to design and evolve great compound AI systems and their components as they are to train great models. Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers.
$193,000 - $257,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
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Machine learning operations (mlops) engineer. + Experience: 3+ years of experience in MLOps or a related field, with hands-on experience in deploying and managing LLMs. + Model Optimization: Apply techniques like quantization, distillation, and pruning to optimize LLM models for efficient inference on AWS infrastructure.
$80 - $80.01 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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3plus years of applied experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance.
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In this role, you will oversee teams designing and building data solutions that capture, explore, transform and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
$199 - $319Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Principal Scientist/Machine Learning Engineer you will be able to drive the future direction of new initiatives and push the boundaries on what the world thinks is possible by leveraging the latest advancements in ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the Relevancy org and will be responsible for driving machine learning solutions from research to production.
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Experience should also include a focus on modern e-commerce architectures interfaces that leverage cloud, AI, Machine learning, REACT, application frameworks, Proficiency with Datawarehouse, relational databases and NoSQL is necessary etc.
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We are looking for talented and innovative Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D and strategy to the next level. As a Machine Learning Applied Scientist at Qualtrics, you should love building cutting-edge predictive models to solve hard customer problems.
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Bachelor's or Master's degree in applied mathematics, statistics, electrical engineering, biomedical engineering, or a related field. Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Data mining, visualization, and Machine Learning skills on Azure/AWS/GCP etc. Understanding of predictive modeling, NLP and text analysis, Machine Learning. Responsible for the governance concerning the data governance tools applied in managing, monitoring, and reporting on DATA assets and inventory.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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General Maintenance Worker (Hands-On / Available Immediately) The General Maintenance Worker (GMW) reports to the Facilities Manager and performs inspections, maintenance, and repairs to ensure that all students, staff, and the community are provided a safe, attractive, clean, and healthy environment for learning and work.
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machine learning applied mathematics hands on jobs Company: Birlasoft in Anoka, Minnesota
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