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Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework. Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment.
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Are you a passionate Machine Learning Engineer with a strong background in SageMaker, prompt engineering, and LLM (Large Language Model) model tuning? If you are an ambitious Machine Learning Engineer with a proven track record in SageMaker, prompt engineering, and LLM model tuning, we would love to hear from you.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Highly preferred) Google Cloud Certification - Professional Data Engineer, Machine Learning. Familiarity with Jupiter Notebook; Python libraries such as Numpy, Scipy, Scikit-learn, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib; Databases such as PostgreSQL, MongoDB, and blob or file storage; Apache Opensource resources such as Hive, Hadoop, Spark with MLlib, Beam, Airflow, Superset, PredictionIO, and OpenNLP.
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. San Francisco, California (Hybrid On-Site): $243,800 - $278,200 for Sr. Lead Machine Learning Engineer.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
$81,000 - $164,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Twinn is seeking a Machine Learning engineer with a passion for Artificial Intelligence and latest technologies in computer science. Twinn is seeking a Machine Learning engineer with a passion for Artificial Intelligence and latest technologies in computer science.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Lead Machine Learning Engineer (Python, Analytics.
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The Leidos Innovation Center (LInC) Intelligent Sensors Branch has an opening for a Machine Learning Research Scientist to support a variety of government R&D projects focused developing machine learning (ML) algorithms for advanced sensors, imaging systems, and information operations platforms.
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You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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We're seeking data scientists who have domain knowledge or an interest in Big Data, machine learning, natural language processing, image processing and an interest to apply it to economic and financial applications.
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Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI. Data science / Machine Learning languages to include Python.
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Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their integration with SageMaker. - Stay up-to-date with the latest advancements in machine learning, particularly in the realm of LLM models and prompt engineering techniques.
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As a Machine Learning Engineer specializing in AWS Serverless technologies, you will develop machine learning architectures and train models utilizing audio, video, and image data.
$145,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
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