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As a Machine Learning Engineer, you can expect to earn anywhere from $140,000 -150,000 (depending on experience) and highly competitive benefits including equity. Machine Learning | Infrastructure | AI | Python | SQL | Software Engineering| Deep Learning | Pytorch | Tensorflow.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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6+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Evaluate and recommend new tools, technologies, and best practices for machine learning development and deployment.
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As a Lead Machine Learning Ops Engineer, you will play a pivotal role in implementing DevOps and ML Ops practices within the Corporate Data & Analytics Team to support AI/ML application enablement across The Friedkin Group of companies.
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Digital Core Tech@Lilly is actively looking for an AI Machine Learning Engineer to spearhead our efforts in the development and deployment of machine learning models that enhance predictive analytics and decision-making across multiple processes and systems in pharma.
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They’re looking for a Lead Machine Learning Ops Engineer with a background in DevOps to come on board to play a key role in implementing DevOps and ML Ops best practice to drive AI/ML Application Deployment.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage) Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML.
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As a Lead Machine Learning Ops Engineer You Will. Master's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 5+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred.
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Join Apple's Applied Machine Learning Team, as a Senior Software Engineer, to enable GenAI across our Applications & Platforms. Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications.
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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. POC for building an embedding store leveraging autoencoders Build frameworks to fast-track model development to deployment lifecycles Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL.
$30 - $40 an hourPart-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Containerization: Experience with Docker and container orchestration (e.g., Kubernetes, ECS) for LLM deployment. LLM Deployment Pipelines: Build and manage CI/CD pipelines specifically for LLM deployment, addressing unique challenges like model size, inference optimization, and versioning.
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Understanding of machine learning concepts and experience with ML platforms like Azure Machine Learning or TensorFlow. Knowledge of Azure DevOps for CI/CD (Continuous Integration/Continuous Deployment.
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Deployment utilizing containerization solutions like Docker and Kubernetes. Candidates working towards master’s degrees or a PhD in quantitative disciplines such as Statistics, Applied Mathematics, Computer Science, Econometrics, Finance, Engineering, Operations Research, Bioinformatics, Information Systems, Computational Linguistics or related quantitative disciplines or other similar degree.
$40 an hourPart-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Developing and deploying Spark/Databricks jobs with enterprise tool stacks like Jenkins / GitHub Actions. Exposure to AWS cloud services and running Apache Spark applications. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients.
$40 an hourPart-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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To fully unlock programmability of RNA medicines, Sail is building a general purpose artificial intelligence (AI) platform to engineer translatable eRNA payloads as well as deployment nanoparticles to shuttle payloads to specific cells of interest.
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Experience working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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