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5-7+ years in industry developing and deploying machine learning models, preferably in NLP, LLM and ideally generative AI domains. The Data Science team works closely with the commercial decision makers, using cutting edge machine learning to shape our understanding of the world’s energy markets, identify new opportunities and turn data into impactful decision making.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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Job Opportunity: Machine Learning Engineering Manager (NLP/LLMs) | Global Software Company. This is a fantastic opportunity to lead a talented team of ML engineers and drive cutting-edge projects focused on NLP, Large Language Models (LLMs), and other advanced machine learning technologies.
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Maintains classroom equipment and student files/records as pertains to special education files/records for the purpose of ensuring a safe and appropriate learning environment, including database entries for student collections and Medicaid billing purposes.
Part-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem. Senior Machine Learning Operations Engineer.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Fundamental knowledge and/or experience developing and applying algorithms in one or more of the following machine learning areas/tasks: protein structure machine learning, deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$124,596 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. SGA is a Great Place To Work (GPTW) certified company, and with its thriving work environment shaped by a growth mindset, abundant learning & collaboration opportunities, opportunities, and a meritocracy-driven culture, SG Analytics has also been awarded regional best employer in 2016, 2018 & 2020.
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Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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In this role, you'll build and deploy machine learning frameworks, accelerating development to deployment timelines and supporting data scientists in their projects. Join the Enterprise Data Science team at Evernorth Health Services as an ML Engineering Intern.
$40 an hourPart-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience in assessing and implementing new data tools to enhance the machine learning stack. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses around the globe elevate their results. You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is at the heart of our customer support, and we are looking for a senior modeler to build high-quality support experiences.
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We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
$247,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Learning Solutions Architect III. Serve as learning subject matter expert to provide knowledge of design programs, principles, development standards, techniques, and methodologies and apply each, ensuring a positive learner/customer experience and alignment with Navy Federal's overall strategy and culture.
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learning job Title: intern Company: Bnp Paribas
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