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Experienced using Python and tools such as Apache Beam, Tensorflow, Tensorflow extended and ML platforms tools like Vertex AI or Amazon SageMaker. Advanced skills in data manipulation (SQL, Pandas, Spark) and experienced with various ML tools in production (scikit-learn, TensorFlow, Keras, Kubeflow, XGBoost.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$126,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Tensorflow. SynergisticIT continues to work with hundreds of satisfied American clients with our software programmers working on our projects and after gaining hands on experience on cutting edge technologies moving to contribute their skills to great clients like Apple, Google, Client, Ebay, Paypal, Kroger, the Walt Disney Company and hundreds more.
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Spring boot, Microservices, Docker, Jenkins and REST API's experience. apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis.
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Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras. Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras.
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Backend: mostly Python and Ruby at Onfido - Frontend: React and Typescript - ML: Tensorflow, Jupyter, Dask - Kubernetes and Docker for deployment - AWS for underlying infrastructure (Aurora, Redis, Dynamo, S3, SNS, SQS, CloudFront, API Gateway, etc.
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Experience working with machine learning algorithms such as Scikit-Learn, TensorFlow, PyTorch, MXNet, etc. Experience working with NLP based algorithms such as BERT, ALBERT and deep learning algorithms such as CNN, RNN, RBM, AutoEncoders, etc.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Experience designing and deploying with one or more of the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
$215,000 - $315,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform). 10 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition.
$215,000 - $315,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
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Expert in Python especially in AI/ML libraries such as PyTorch, Tensorflow, Sklearn, LLM tools such as Spacy, and data engineering tools such as Pandas, Numpy, Spark. Prior to Nutanix, I founded a VC-funded start-up in AIOPs space and did a PhD in the area of data center operations management from Georgia Tech. I hold a B.Tech. from IIT Kharagpur.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
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Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV) Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
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Deep Learning Ninja: Proven experience in designing and implementing machine learning solutions utilizing GCP and various algorithms (e.g., TensorFlow, PyTorch). Deep Learning Ninja: Proven experience in designing and implementing machine learning solutions utilizing GCP and various algorithms (e.g., TensorFlow, PyTorch.
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Demonstrated knowledge of advanced data science toolsets (e.g., Tensorflow, Pytorch, Scikit-Learn, Airflow, Spark) Demonstrated knowledge of advanced data science toolsets (e.g., Tensorflow, Pytorch, Scikit-Learn, Airflow, Spark.
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