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ILink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.
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In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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As a premier IT-staffing agency, our specialist recruiters are trained to review, interview, and assess candidates in the fields of Artificial Intelligence, Data Science, Cloud Computing, DevOps, Cybersecurity, AR/VR, and other future-forward IT parallels.
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Data science, machine learning, optimization models, Master’s degree 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)Primary Location.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes) is a plus. The focus of this position is to lead the Gen AI data science team and responsibilities include LLM fine-tuning, training, and evaluation.
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We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
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We displace legacy data, forecasting, pricing, and reporting solutions with a single enterprise SaaS platform that leverages the latest advancements in deep learning, cloud computing, and user experience.
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3+ years of hands-on experience with cloud computing technologies including AWS Lambdas, EC2, S3, EventBridge Kinesis, and Glue, or equivalents in Google Cloud or Azure. Develop and operationalize machine learning models for personalized content and product recommendations using data science, for both marketing emails/promotions and online recommendations.
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The ideal candidate will have a strong technical background in data science, machine learning, and software engineering, with a passion for innovation and problem-solving. 5+ years experience in data science, machine learning, or a related field, with a strong focus on large language models.
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Industry expertise within Data Warehousing, Data Engineering, Data Science, Business Intelligence, Data Analytics and/or Cloud Computing. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users.
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Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
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This includes managing and optimizing machine learning models in production, ensuring their scalability and reliability across cloud computing platforms, especially. The position requires a combination of data science background, strong computer science fundamentals, and an aptitude to apply cutting-edge technologies at scale.
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3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS. Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives.
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3 years of experience must include: Programming using Java, Java Script, Spring, Spring Boot, Google Guice; Hibernate, JPA, Micro Services, SOAP and REST Web Services, XML, JSON, Junit, UNIX, J2EE design patterns, API, SQL, JIRA, SQL, Oracle PL/SQL; CI/CD; Design analysis and algorithms; Information security practices; Database management and administration; Project management activities; Cloud computing; and Linux Programming.
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data science cloud computing jobs in Dallas, TX
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