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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with ML frameworks such as Tensorflow, PyTorch, OpenCV.Experience developing sensor fusion algorithms. Familiarity with ML frameworks such as Tensorflow, PyTorch, OpenCV.Experience developing sensor fusion algorithms.
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Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Work experience with modern AI frameworks like Pytorch, Tensorflow. Development with tools like Intel OneAPI or Nvidia CUDA. Deep understanding of AI technologies including LLM, RAG, Deep Learning.
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Strong proficiency in Python and experience with relevant NLP & deep learning libraries (e.g. TensorFlow, PyTorch, spaCy) Strong proficiency in Python and experience with relevant NLP & deep learning libraries (e.g. TensorFlow, PyTorch, spaCy.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Big data frameworks (TensorFlow, Caffe, Spark, Hadoop, Azure AI Stack) Big data frameworks (TensorFlow, Caffe, Spark, Hadoop, Azure AI Stack) Data mining languages and packages (e.g. R, Python.
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We use modern technologies like: Google Cloud Platform, GoLang, GRPC, Kubernetes, Tensorflow, PostgreSQL, Typescript (Angular), Swift (iOS), and Kotlin (Android). We use modern technologies like: Google Cloud Platform, GoLang, GRPC, Kubernetes, Tensorflow, PostgreSQL, Typescript (Angular), Swift (iOS), and Kotlin (Android.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with deep learning frameworks such as TensorFlow or Pytorch. React, Vue.js or similar. Experience with database systems such as Elasticsearch, DynamoDB, Aurora, BigQuery, Postgres, Cassandra, Redis.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
RemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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X), Git, gRPC, WANDB, async-io, Tensorflow (and tf-serving), ONNX, OpenCV, Docker and Kubernetes. Familiarity with scientific libraries and frameworks such as Numpy, Tensorflow, Keras, Scikit Learn, OpenCV, ONNX.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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. Understanding of Finance business processes, including FP&A, Strategic Finance, Business Unit Finance, Controllership (Close & Consolidations), Tax, Treasury, Management and External Reporting, and Investor Relations.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Desired skills: Apache Airflow, Apache Spark, Docker or Kubernetes, Snowflake, ML libraries (examples: tensorflow, scikit-learn, etc.) Desired skills: Apache Airflow, Apache Spark, Docker or Kubernetes, Snowflake, ML libraries (examples: tensorflow, scikit-learn, etc.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with Python and modern deep learning frameworks, such as Keras, TensorFlow, pyTorch, caffe. Develop software for the deep learning or production ML lifecycle, formed from machine learning or ML and operations or Ops. These include ML and DevOps methods, as well as data engineering processes for deploying and maintaining machine learning models in production.
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Experience working with machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and distributed big-data tools (e.g. Spark) is a plus. We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc.
$110,000 - $142,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and their application to computer vision, natural language processing (NLP), or other AI domains. - Implement and fine-tune machine learning and deep learning models using industry-standard frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
ExpandApply NowActive JobUpdated 12 days ago
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