• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 17th Sep 2025

• Dallas and Tampa is approved, also open to a candidate who is willing to convert to full time after 6  Months 
• Once Developer is done coding then they onboard the coding into the environment.
• Need to know where the endpoints to connect to the microservices
• Looking for someone in infrastructure who helps the developers
• Needs development background
• Developer vs administrator/infra: should be 20% developer and 80% administrator/infra- will be maintaining infrastructure and maintaining a secure environment
• Not open to a networking cloud engineer
• Needs someone who has a full understanding of sagemaker, but also how other products work, in order to assist developers
• As an admin, you should understand what the developers are doing, which is why you need a development background
• Bedrock is in process and should be ready in december.
• This person would be supporting bedrock and deployment
• Just sagemaker is sufficient, if they do not have bedrock, but they should be ready to learn bedrock
• Flexible with skills, they must be very strong in at least bedrock OR sagemaker, and again, EAGER to learn the other
• In a year from now they will still be doing day to day task, like supporting deployments and patches etc.

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.
Generative AI using open source LLMs (Llama, Cohere, OpenAI, Titan etc..) and APIs
Docker
Kubernetes
SQL
Linux commands and shell scripting