AWS ML Engineer
AWS ML Engineer
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Job Description
Hi
Hope you are doing well. I had a chance to review your profile and wanted to discuss about a Fulltime Hire position with our client a major Systems Integrator.
Please go through the below mentioned JD and let me know if you would be interested to explore the opportunity.
Job Title: AWS ML Engineer // AWS Cloud Data Scientist
Location: Seattle WA ( Onsite )
Duration: Fulltime Hire
Job Description:
Data Analysis and Exploration: Analyze large complex datasets to extract meaningful insights and identify trends. Perform exploratory data analysis (EDA) using AWS data processing tools.
Model Development: Build train and evaluate machine learning models using AWS services such as SageMaker and frameworks like TensorFlow.
ETL and Data Preparation: Work with AWS Glue Redshift Textract and other data engineering tools to preprocess transform and manage data for machine learning purposes.
Machine Learning Pipeline Development: Develop end-to-end machine learning pipelines on AWS to automate and operationalize the deployment of models at scale.
Collaboration: Work closely with data engineers business analysts and stakeholders to understand business needs and tailor data science solutions to meet those needs.
Model Deployment and Monitoring: Deploy models to production and set up monitoring systems to track performance accuracy and other key metrics. Use SageMaker and Lambda for model hosting and API development.
Documentation and Reporting: Document models processes and findings for stakeholders enabling clear communication of results and decision support.
Thanks & Regards
Sumit Goyal
Sr. Technical Recruiter
Employment Type
Full-time
