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Advanced proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and data visualization tools.
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Engage with user and analyst to explore and prototype front office opportunity and use-case exploring data and the application of cognitive and machine learning technology. Data Science and Machine Learning Frameworks (PyTorch, TensorFlow, Scikit-learn etc.
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Requirements:Expertise and Experience with PCI DSS ComplianceDemonstrated experience in designing, implementing, and maintaining network architectures that comply with PCI DSS (Payment Card Industry Data Security Standard.
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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This role is pivotal in the overall project to replace monitoring systems behind a data diode, ensuring air-gapped security for critical infrastructure. Building ACLs and ensuring compliance with security hardening requirements for all network equipment.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Spring boot, Microservices, Docker, Jenkins, Github, Kubernates, and REST API's experience. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates.
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Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus. Hands-on experience with Databricks and Snowflake for data engineering and analytics.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
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