Hybrid
Description:
Senior AI Operations Engineer
Qualifications
At least ten or more years of experience in AI, Data Science, Software Engineering experience, including knowledge of Data ecosystem
Bachelor’s 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
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status