PlacingIT
AI/ML Infrastructure Engineer - 1672
PlacingIT, Coppell, Texas, United States, 75019
AI/ML Infrastructure Engineer - 1672 (hybrid)Location:
Coppell, TX is the preference but will take candidates in Tampa, FL - This is an onsite job, M-F
Project Type/Term:
6+ month contract to hire.
Max Bill Rate:
$60/hr. C2C
Visa:
US Citizen or Green Card. Must be able to convert to fulltime. Client cannot sponsor.
Travel:
Onsite 3 days a week
Hours:
8-5
Remote:
No
AI/ML Infrastructure engineers with development background to deliver AI services for business users.
Requirements:
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 automate 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 managing and optimizing 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
#J-18808-Ljbffr
Coppell, TX is the preference but will take candidates in Tampa, FL - This is an onsite job, M-F
Project Type/Term:
6+ month contract to hire.
Max Bill Rate:
$60/hr. C2C
Visa:
US Citizen or Green Card. Must be able to convert to fulltime. Client cannot sponsor.
Travel:
Onsite 3 days a week
Hours:
8-5
Remote:
No
AI/ML Infrastructure engineers with development background to deliver AI services for business users.
Requirements:
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 automate 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 managing and optimizing 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
#J-18808-Ljbffr