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Experience working with Google Cloud platform(GCP) specifically Google Kubernetes engine, Terraform, and infrastructure. Machine Learning Engineer w GCP position is based at Dearborn, Michigan.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
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Keywords: LLM, Large Language Model, Machine Learning, GPU, Graphics Processing Unit, ML Infrastructure, Cloud Computing, Kubernetes, K8s, Docker, Containerization, Hardware, TPU, Tensor Processing Unit, AWS, GCP, Azure, Compiler, Kernel, CUDA, Triton, GPU Programming.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Familiarity with SQL and no-SQL databases–particularly PostgreSQL and Google BigQuery–as well as streaming data systems such as Google Pub/Sub and Kafka. Experience with Google Cloud services, particularly Cloud Storage, Memorystore/Redis, and Google Kubernetes Engine.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Knowledge of data analytics, machine learning, and AI applications in Supply Chain/ pharmaceutical manufacturing. Including, Kubernetes, Microservices, Cloud Data bases MongoDB, Kafka, Spring Boot, DevOps, Jenkins, React, Node.js.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying machine learning models. Strong background in machine learning, deep learning, generative models, and large language models.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage). Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka.
Full-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
ExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Skills Required: GCP, Python, ML, MLOPs, Gen AI, DevOps, Vertex AI, Cloud Function, BigQuery,Kubernetes, Docker,Bash, PowerShell,Terraform. Master focused in Computer Science / Machine Learning or related field.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Google Cloud Professional Machine Learning Engineer certification. The ideal candidate will have a strong background in machine learning, experience with Google Cloud services, and a passion for solving complex problems with AI.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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3+ years of experience with streaming technologies (Kafka, Pubsub, Kinesis) and log-based architectures and experience writing batch and stream processing jobs (i.e. Apache Beam, Google Cloud DataFlow, Apache Spark, Apache Storm.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Industry knowledge and experience in areas of Cloud Data processing and migration, advanced analytics Redshift, Glue, Azure EMR, Azure Kinesis, Step functions. Experience in java programming languages Python, Flask, Django, Java 8, Spring, Spring boot.
ExpandApply NowActive JobUpdated 9 days ago
machine learning natural language processing python r data google cloud jobs in New Orleans, LA
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