AI Operations Engineer
AI Operations Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Intermediate AI Operations Engineer
Candidates residing in the Greater WashingtonDC metro area within a fifty (50) mile driving radius of the Board offices in Washington DC required. Citizens or GC holder only.
Personnel Qualifications
At least five or more years of experience in AI Data Science Software Engineering experience including knowledge of Data ecosystem
Bachelors degree in Computer Science Information Systems or other related field is required or related work experience
Experience in AWS cloud architecture design and operation
Experience in Terraform Dockers Kubernetes and/or Gitlab
Proficiency with AI infrastructure components automation tools and scripting languages such as Python Bash
Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker Transformer TensorFlow PyTorch and Langchain/Llamaindex
Familiarity with open source LLM models such Llama Mistral
Experience in fine-tuning LLM models
Knowledge of AI design patterns
Hands-on experience with DevSecOps and CI/CD practices
Strong analytical and problem-solving skills
Superb communication and documentation skills
Demonstrated expertise in the areas of accountability critical thinking and emotional intelligence
Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex critical strategic IT initiatives
Good interpersonal negotiation and influencing skills
Holder of industry professional certifications in AWS cloud architecture and development is strongly preferred
Solid understanding of software development methodologies including Agile and Scaled Agile centric execution models
Familiarity with government cloud deployment regulations/compliance policies such as FedRAMP FISMA etc.
Capabilities
Operationalize deploy manage trouble-shoot scale and evolve the GenAI based systems Instrument the AI systems with observability and controllability
Monitor AI systems for performance and security
Analyze fine-tune and optimize the performance of the AI systems
Manage measure and improve the behavior of the AI systems
Automate AI deployments and operations
Ensure the security of AI systems by implementing standard methodologies and conducting regular security audits
Intermediate AI Operations Engineer
Personnel Qualifications
At least five or more years of experience in AI Data Science Software Engineering experience including knowledge of Data ecosystem
Bachelors degree in Computer Science Information Systems or other related field is required or related work experience
Experience in AWS cloud architecture design and operation
Experience in Terraform Dockers Kubernetes and/or Gitlab
Proficiency with AI infrastructure components automation tools and scripting languages such as Python Bash
Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker Transformer TensorFlow PyTorch and Langchain/Llamaindex
Familiarity with open source LLM models such Llama Mistral
Experience in fine-tuning LLM models
Knowledge of AI design patterns
Hands-on experience with DevSecOps and CI/CD practices
Strong analytical and problem-solving skills
Superb communication and documentation skills
Demonstrated expertise in the areas of accountability critical thinking and emotional intelligence
Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex critical strategic IT initiatives
Good interpersonal negotiation and influencing skills
Holder of industry professional certifications in AWS cloud architecture and development is strongly preferred
Solid understanding of software development methodologies including Agile and Scaled Agile centric execution models
Familiarity with government cloud deployment regulations/compliance policies such as FedRAMP FISMA etc.
Capabilities
Operationalize deploy manage trouble-shoot scale and evolve the GenAI based systems Instrument the AI systems with observability and controllability
Monitor AI systems for performance and security
Analyze fine-tune and optimize the performance of the AI systems
Manage measure and improve the behavior of the AI systems
Automate AI deployments and operations
Ensure the security of AI systems by implementing standard methodologies and conducting regular security audits
Employment Type
Full-time
