| Machine Learning Operations (MLOps) Engineer - Malvern PA at Malvern, Alabama, USA |
| Email: [email protected] |
| From: Prashanth, AcuBahn Inc. [email protected] Reply to: [email protected] Machine Learning Operations (MLOps) Engineer Malvern PA- Onsite Must Have: AWS Sagemaker - Pipeline deployments using SM API calls, Orchestration of Sagemaker pipelines Models configuration, Development Development of features for models S3, CICD, codecommit, code pipeline, IAM Roles, Cloud Watch, Step Functions, Cloud Formation, Event Bridge Good to have: AWS Glue Roles/Responsibilities for Company Personnel are as follows: Solid understanding of machine learning fundamental Bring deep expertise in cloud architecture / DevOps to analyze and recommend enterprise-grade solutions for operationalizing Artificial Intelligence / Machine Learning analytics Develop end-to-end (Data/Dev/ML)Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably Improve and maintain our automated Continuous Integration/Continuous Deployment pipeline. Assist data scientists with model evaluation and training (includes versioning, compliance, and validation). Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance, and validation). Continuously evaluate the latest packages and frameworks in the ML ecosystem Work with Product Owner and other Product Architect in building product technical roadmaps and architecture in alignment with business strategies and objectives Collaborate with the broader architecture community to ensure that their products align with target architectures and technology roadmaps and provides input on required platform capabilities and improving development tools/processes Work with other product teams, technology experts, and business stakeholders to provide functional support Assist in the evaluation of vendors and products and participate in build vs. buy discussions with the product teams Act as highest-level technical expert, resolving issues, assessing any potential risks and identifying solutions Provide technical guidance to product team(s) as appropriate Perform feasibility analysis on potential future projects Assist in the development of and management of architecture governance process(es) Prepare and present product-related documentation Requirements: Company Personnel must have the following expertise: At least 5 years IT Experience in developing Software and Infrastructure as Code (on AWS) Experience in developing software using CI/CD, and supporting automated CI/CD pipelines Familiarity with container technologies including AWS Fargate, Docker and Kubernetes Expert in Container technologies like Kubernetes and Docker Experience in configuring AWS environment (i.e. EC2, S3, DBs etc.) Data (Glue, EMR,etc.) and AWS Services (Step & Lambda Functions etc.) Proficient in AWS, DevOps, CI/CD and Microservices Experience developing and managing packages and APIs using Python Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree database information technology Pennsylvania |
| [email protected] View all |
| Thu Oct 19 18:50:00 UTC 2023 |