AI / Client Infrastructure Engineer with development background to deliver AI services for business users

Location: Dallas is preference- open to Tampa, local only

CTH, USC / GC only
2 rounds- 2nd round in person, 1 round zoom

AI space

30% Dev, 70% Infrastructure, They also work with Business Teams. Jira. ServiceNow, Business Continuity, Governance

8-10 years' experience in industry, 5 years AI/Client experience needed.

NEED product side experience AI- SageMaker, bedrock.

Python coding is the preference on coding language. Terraform needed.

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 resoleincy.

Nice-to-have:
Generative AI using open source LLMs (Llama, Cohere, OpenAI, Titan etc..) and APIs
Docker
Kubernetes
SQL
Linux commnads and shell scripting