| ML Engineer with Infrastructure admin at Dallas, tX or Tampa, FL - Local to TX, FL - No H1B - Inperson interview at Dallas, Texas, USA |
| Email: [email protected] |
| From: Devyani Kumari, Absolute IT [email protected] Reply to: [email protected] ML Engineer with Infrastructure admin background not dev background Resumes have been developers, data scientists. But he is looking for infrastructure background. Terraform. CICD background. Day to day- provide services to dev teams and business users. Onboard them. When they are done w dev they promote their code, they do access provisions, help developers if they get stuck in their processes. Support disaster recovery. AI/ML ADMIN - work with dev, no architecture. If they have sagemaker or bedrock that will work. Background should include platform which includes, network, firewalls, configuration of databases, notebook configuration, code deployment between environments etc Feedback: I am looking for 80% Admin/platform background and 20% Development back ground AI space 30% dev, 70% infrastructure They also work w business teams. Jira. Servicenow, business continuity, governance 8-10 years experience in industry, 5 years AI/ML experience needed. NEED product side experience AI- sagemaker, bedrock. Python coding is the preference on coding language. Terraform needed. Location: Dallas is preference- open to Tampa, local only , CTH, usc/gc only (Need a local candidate only, DL Required!!) Candidate must have an active and an updated LinkedIn ID with a picture (REQUIRED!!) 2 rounds- 2nd round in person, 1 round zoom AI/ML Infrastructure engineers with development background to deliver AI services for business users Must needed: Strong Experience on AWS services(Athena,KMS,s3,lambda,cloudtrail,cloudwatch,SSM etc..) Strong experience on SageMaker, Bedrock and Q developer machine learning services. Familiarity with AI frameworks such as Tensorflow, pytorch, Llamaindex and Langchain Enable an AIOps framework and model deployment framework on SageMaker for the organization Familiarity with Agile development methodology and practices for AI deployment Familiarity with source code management / release management/DevOps for AI Experience with Terraform to automated the SageMaker tasks. Experience in deployed machine learning models using AWS SageMaker, enabling predictive analytics and driving data-driven decision-making. Familiarity with machine learning models,enabling predictive analytics and driving data-driven decision-making. Experience in managed and optimized AWS EMR clusters to process and analyze large-scale datasets, ensuring efficient resource utilization and high performance. Create an inclusive environment across all aspects of the team, including continuous learning, knowledge sharing, and teamwork. Mitigate risk by following established procedures, spotting key errors and demonstrating strong ethical behavior. Design and develop machine learning algorithms and deep learning applications and systems Familiarity with Python, Java, and R Familiarity with Jenkins Good knowledge of DevSecOps Familiarity with JIRA, Confluence Ability to work and deliver in a dynamic, fast-paced environment and willing to adapt to changes. Address problems with deployed AI to improve user experience. Have experience in incident management Have deep understanding and experience in Change Management process Have deep understanding and experience in SDLC process Have deep understanding and experience in Governance, business continuity and resiliency. Nice-to-have: Generative AI using open source LLMs (Llama, Cohere, OpenAI, Titan etc..) and APIs Docker Kubernetes SQL Linux commands and shell scripting Keywords: artificial intelligence machine learning access management sthree rlang information technology green card Idaho ML Engineer with Infrastructure admin at Dallas, tX or Tampa, FL - Local to TX, FL - No H1B - Inperson interview [email protected] |
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| Wed Nov 13 22:40:00 UTC 2024 |