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Our stack includes Kubernetes, Docker, GCP, AWS, Azure, Ansible, Terraform, Vault, Backstage, Gitlab, Tensorflow, Datadog, Elasticsearch, Kafka, Hadoop, MySQL, MongoDB, Python, and Go. Our stack includes Kubernetes, Docker, GCP, AWS, Azure, Ansible, Terraform, Vault, Backstage, Gitlab, Tensorflow, Datadog, Elasticsearch, Kafka, Hadoop, MySQL, MongoDB, Python, and Go.
$140,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience with AWS, GCP, Azure, Snowflake or Databricks and familiarity with Docker and Kubernetes. Develop and deploy scalable, high-availability cloud services and applications, emphasizing AWS, GCP, Azure, Snowflake, etc.
$140,250 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with cloud/big data technologies like GCP/AWS/Azure, Hadoop, Spark, Kubernetes. Experience with programming languages such as Python, TensorFlow/PyTorch and NLP techniques and tools such as Hugging Face, OpenAI GPT models.
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Familiarity with AI concepts and frameworks such as natural language processing computer vision machine learning deep learning and TensorFlow. Experience with Azure services and tools such as Azure DevOps Azure Resource Manager Azure Active Directory Azure Cognitive Services and Azure Bot Service.
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Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, including services like EC2, S3, Lambda, Kubernetes, and managed AI/ML services. Experience with ML Lifecycle, AI Ethics, ML Frameworks like TensorFlow, Caffe, Torch, and other similar frameworks.
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Familiarity with CUDA programming and/or GPUs. Experience with Deep Learning Frameworks such PyTorch, TensorFlow. Develop tools and automation to deploy testing on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.
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Strong working knowledge and expertise in various AI frameworks, tools, platforms, and methodologies, such as TensorFlow, PyTorch, Keras, Scikit-learn, AWS, Azure, Google Cloud, etc. Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on AI, machine learning, deep learning, natural language processing, computer vision, or related areas.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with distributed computing frameworks (e.g., Spark, Hadoop). Proficiency in programming languages such as Python, TensorFlow, PyTorch, or scikit-learn, with hands-on experience in developing and deploying machine learning models.
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Experience of cloud-based platforms i.e., Azure, AWS, GCP and big data technologies i.e., Hadoop, Spark is highly desirable. Proficient in machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch.
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Experience with deep learning frameworks like TensorFlow or PyTorch. Experience with cloud-based machine learning platforms such as AWS, GCP, or Azure. Broad expertise and understanding of AI, NLP, LLM, and generative AI trends.
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In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and other AI technologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
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Proficiency in programming languages such as Python, SQL, and experience with ML frameworks like TensorFlow and PyTorch. Experience with cloud computing platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark.
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Strong programming skills and working experience with ML/DL frameworks such as Pytorch, Tensorflow etc. Familiarity with cloud platforms like AWS, GCP, or Azure is a plus. Direct experience in LLM research with deep understanding of Transformer architectures, Pre-training techniques, RLHF, RAG etc.
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Strong proficiency in Python, SQL, and familiar with frameworks like TensorFlow or PyTorch. Expertise in multi-cloud environments including AWS, Google Cloud Platform, and Microsoft Azure preferred.
$215,000 - $245,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Ph. D. and publications in machine learning, AI, applied mathematics, or related technical fields. Publications in top conferences such as ACL, NeuRIPS, ICML, ICLR, CVPR etc is a huge plus. Deep mathematical foundations with knowledge of Advanced Linear Algebra, Probability Theory, Topology, Numerical Optimization, Information theory, Graph Theory etc.
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