| Need Cloud Machine Learning Engineer or MLOPS engineer - Charlotte, NC (Onsite) at Charlotte, North Carolina, USA |
| Email: [email protected] |
| From: Saritha, ​Softcom Systems, Inc [email protected] Reply to: [email protected] Hi , This is Saritha from Softcom System, We have below urgent requirements. Please find the below JD and share your interest, Job Title: Cloud Machine Learning Engineer / MLOPS engineer Location: Charlotte, NC Duration: Long term Onsite(Day-1) Must Have Skills: GCP Vertex AI ML Nice to have skills Azure ML Ops Detailed Job Description: This role Cloud Machine Learning Engineer requires in-depth experience in design, build, automate, deploy & monitor of ML pipelines on Azure. The candidate would have extensive experience with Azure ML Studio, building & operationalizing Kubeflow pipelines, Data Labelling, Supervised & unsupervised models, Generative AI, LLM with both real-time and batch applications. The candidate is expected to guide and lead Wells Fargos Google Cloud adoption and migration by building the appropriate foundational blocks including building the MLOPS pipeline framework, continuous training and model monitoring. The candidate would help document the Azure Cloud deployment Guidelines and Playbook and help pilot model deployment on the Production Scoring environment using the pipeline designed and by following all Wells Fargos Release engineering process. Experience : 2+ years of Azure Cloud experience using Azure ML Studio, Building and operationalizing ML pipelines using sound MLOPS practices. 2+ years of Experience with ML frameworks and libraries, such as XGBoost, Keras, Pytorch, scikit etc 1+ years of Experience with 3 or more technologies like : LLM, Generative AI, Vector DB, Snorkel, Feature Store, Data Labeling 1+ years Terraform OR 2+ years Infrastructure as Code (Puppet, Chef, Ansible, homebrew, etc. are acceptable in lieu of Terraform) -- This is for Terraform consultant 5+ years of development experience with languages such as Python, Java, Scala, or R 3+ years of experience with scripting languages such as Bash, PowerShell, Python, Shell, VBScript, or JavaScript 2+ years of experience developing and using RESTful Application Program Interface (API) Hands-on experience migrating workloads to public cloud (Either GCP or Azure) Preferred: Google Cloud Architect certification Keywords: artificial intelligence machine learning database rlang North Carolina |
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| Thu Sep 14 00:39:00 UTC 2023 |