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Azure Data Engineer ( Machine Learning ) USA ( Remote ) at Remote, Remote, USA
Email: [email protected]
From:

Gopi Chand,

Yochana IT

[email protected]

Reply to:   [email protected]

Hello, 

Im a Technical Recruiter with Yochana Solutions Inc., a national IT staffing solutions provider with 14 plus years of experience delivering value to leading companies across the U.S and Canada.  

I'm currently staffing for

 Azure Data Engineer  ( Machine Learning )  

USA ( Remote

)

.

B

elow you will find the job description, if you are qualified and interested please send me your Updated Word Document Resume.   

My apologies if this position is not an ideal fit, we'll keep you in mind for other suitable positions and referrals would be appreciated. 

Thank you in advance. 

Role: Azure Data Engineer  (
Machine Learning )

Location: USA ( Remote )

Vendor / Client: Direct Vendor  

Duration: Contract                                                                                                                             

Job Description:

We are seeking a talented Senior Data Scientist to join our team. The ideal candidate will have a deep understanding of statistical modeling and machine learning techniques, as well as experience in data analysis and visualization using Azure, Azure Machine Learning, and Azure data science technologies. In this role, you will work on a variety of projects, including predictive modeling, data mining, and natural language processing. Responsibilities: Develop statistical models and machine learning algorithms to analyze large datasets and extract insights using Azure Machine Learning Collaborate with cross-functional teams to identify business problems and develop solutions using Azure data science technologies Conduct data analysis and visualization to communicate findings to stakeholders using Power BI and other Azure tools Design and implement experiments to test hypotheses and improve model performance using Azure Machine Learning Develop and maintain predictive models to support decision-making processes using Azure Machine Learning Work with engineering teams to deploy models into production environments using Azure technologies Stay current with industry trends and research in machine learning and data science, with a particular focus on Azure technologies Mentor junior data scientists and provide guidance on best practices for using Azure and other data science tools Requirements: Master's or PhD in Computer Science, Statistics, Mathematics, or a related field 5+ years of experience in data science or a related field Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics Strong communication skills and the ability to present complex data in a clear and concise manner, using tools such as Power BI Experience with big data technologies, such as Hadoop or Spark, is a plus Strong problem-solving skills and the ability to work independently or as part of a team Experience in the industry domain is a plus, as is experience with Azure Machine Learning and other Azure technologies If you are a highly motivated, results-driven individual with a passion for data science and machine learning, particularly with Azure and other cloud-based technologies, we would love to hear from you." (1.) To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity. (2.) To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure succeful delivery of complex projects. (3.) To ensure process compliance in the assigned module, and participate in technical discussionsorreview as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations). (4.) To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure and closure of escalations

Thanks and regards

Gopi Chand ( Email is the best way to contact )

Team Lead and Senior SAP Recruiter specializing in SAP Recruitment

Yochana IT Solutions Inc

23000 Commerce Dr., Farmington hills, MI-48335

[email protected]

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www.yochana.com

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Azure Data Engineer ( Machine Learning ) USA ( Remote )
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Tue Sep 10 03:59:00 UTC 2024

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