AI Ops Engineer
mccain
Job Description
- Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
- Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
- Optimizing existing generative AI models for improved performance, scalability, and efficiency.
- Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
- Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Contributing to the establishment of best practices and standards for generative AI development within the organization.
- Providing technical mentorship and guidance to junior team members.
- Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems
- Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI
- Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines
- Implement monitoring and logging tools to ensure AI model performance and reliability
- Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
- Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.