Google Machine Learning consultant position at Charlotte, NC location at Charlotte, North Carolina, USA |
Email: [email protected] |
From: Hari prasad, Smartfolks [email protected] Reply to: [email protected] Hi, My name is Hari Prasad we have a job opportunity for Google Machine Learning for one of our client. Please find the Job description below, if you are available and interested, please send us your word copy of your resume with following detail to [email protected] or you can reach me at 469-425-3345 Role: Google Machine Learning Work Location & Reporting Address: Charlotte, NC 28214 Contract duration (in months): 6-12 Months Minimum years of experience: 10 years Job Details: Must Have Skills Vertex AI GCP ML Experience: 5+ years of relevant experience in Google cloud 5+ Years of experience in working with Data Science, ML, ML Ops, Python technologies in any of the cloud environment Significant experience architecting cutting-edge MLOps systems in enterprise environments using GCP Vertex AI 5+ years of experience building, scaling, and optimizing enterprise-grade Machine Learning systems, using frameworks such as scikit-learn, XGBoost, TensorFlow and Spark 3+ years of experience designing and building data-intensive, production-ready solutions using distributed computing frameworks such as Spark 3+ years of experience developing and deploying Machine Learning solutions on Google Cloud. Mastery of data wrangling in rational databases using SQL Knowledge of object-oriented programming design best practices Professional services experience GCP Professional Machine Learning Engineer certification preferred Nice to have skills: GCP AutoML Python Detailed Job Description: Strong experience in working with Goggle Cloud Platform (GCP) cloud-based architectures and technologies to deliver optimized ML models at scale using Vertex AI Strong experience in ML, Data Science, Deep Learning, NLP Hands on experience using Vertex AI in GCP extensively for Developing and Deploying ML Models experience in working with Auto ML in GCP Experience in Deploying ML models using GCP managed services. Strong hands on experience in ML Ops. Deliver production ML software models and components that solve real-world business problems, while working in collaboration with product and application teams Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Advocate for software and machine learning engineering best practices Function as a technical or project lead and while mentoring junior engineering talent Keywords: artificial intelligence machine learning North Carolina |
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Wed Jul 19 01:30:00 UTC 2023 |