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Position Overview: As a Machine Learning Infrastructure Engineer, you'll play a crucial role in designing, building, and optimizing our machine learning infrastructure to support the needs of our organization.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure. Experience with big data technologies such as Apache Spark or Hadoop Preferred.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience working with cloud data processing technologies such as Apache Spark, ElasticSearch, Presto, SQL, etc. You will be building products using technologies such as AWS SageMaker, Tensforflow, Pytorch, LLM, Elastic Search, REST web services, SQS/Kafka, Vector Database, HBase, Machine Learning, and more.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiarity with cluster management tools like Bright, data processing frameworks (e.g., Apache Spark, Apache Beam), machine learning frameworks (e.g., TensorFlow, PyTorch), networking for HPC applications, containerization technologies (e.g., Docker, Kubernetes) and HPC scheduling.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn). Job Title: ML Infrastructure Engineer with Google Cloud Platform.
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We are looking for an infrastructure engineer with expertise in machine learning for autonomous systems. Experience working with cloud data processing technologies (Apache Spark, ElasticSearch, Presto, SQL, etc.
$65,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with large scale distributed systems, data processing pipelines and machine learning training and serving infrastructure. Experience with Spark, MLLib, Databricks,MLFlow, Apache Airflow, Dagster and similar related technologies.
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Machine Learning Engineer (Infrastructure - GCP) Machine Learning Engineer (Infrastructure - GCP) Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform.
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Familiar with Spark, MLLib, Databricks,MLFlow, Apache Airflow, Dagster and similar related technologies. Familiar with Pandas and Python machine learning libraries and deep learning frameworks such as PyTorch and TensorFlow.
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Strong understanding of Containerization technologies (e.g., Docker, Kubernetes). Experience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred. Proficiency in programming languages Python, Java.
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Job Title: ML Infrastructure Engineer with GCP. Job Title: ML Infrastructure Engineer with GCP. Note: Only PST and MST candidates are required. Kindly please share your resumes with srikar@isofttekinc.com or 707-435-3471.
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Building infrastructure that enables deploying machine learning models over billions of historical data points collected from tens of thousands of retail stores across the US. Developing data pipelines powered by Apache Spark and other modern big data processing systems.
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Strong understanding and experience with distributed systems like Apache Spark, Ray etc. Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety.
ExpandApply NowActive JobUpdated 8 days ago
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