What are the responsibilities and job description for the LLMOps Engineer - Cloud/Gen AI position at Manifest Solutions?
Manifest Solutions is currently seeking an LLMOps Engineer - Cloud / Gen AI for an onsite position in Westerville, OH.
- Conceptualize, develop, and execute Machine Learning (ML) / LLM pipelines specifically for Large Language Models, including data acquisition, pre-processing, model training / tuning, deployment, and monitoring.
- Utilize automation tools such as GitOps, CI / CD pipelines, and containerization technologies (Docker, Kubernetes) to streamline ML / LLM tasks across the Large Language Model lifecycle.
- Establish robust monitoring and alerting systems to track Large Language Model performance, data drift, and other key metrics, proactively identifying and resolving issues.
- Perform truth analysis to assess the accuracy and effectiveness of Large Language Model outputs, comparing them to known, accurate data.
- Collaborate closely with infrastructure, DevOps teams, and Generative AI Architects to optimize model performance and resource utilization.
- Oversee and maintain cloud infrastructure (e.g., AWS, Azure) specifically for Large Language Model workloads, ensuring cost-efficiency and scalability.
- Stay current with the latest advancements in ML / LLM Ops, integrating these developments into generative AI platforms and processes.
- Communicate effectively with both technical and non-technical stakeholders, providing updates on the performance and status of Large Language Models.
Requirements :
Preferred Requirements :
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