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GenAI-MLOps
1 week ago
Responsibilities
· Design, develop, and implement ML/LLM pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring.
· Automate ML tasks across the model lifecycle, leveraging tools like GitOps, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes).
· Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows.
· Design and implement monitoring and alerting systems to track model performance, data drift, and other key metrics.
· Conduct ground truth analysis to evaluate the accuracy and effectiveness of LLM outputs compared to known, correct data.
· Work closely with infrastructure and DevOps teams to provision and manage resources for ML and LLM development and deployment.
· Develop and maintain robust monitoring and alerting systems for generative AI models in production, ensuring proactive identification and resolution of issues.
· Collaborate with the Generative AI Full Stack Architect and other engineers to optimize model performance and resource utilization.
· Manage and maintain cloud infrastructure (e.g., AWS, Azure) for ML workloads, ensuring cost-efficiency and scalability.
· Stay up to date on the latest advancements in MLOps and incorporate them into our platform and processes.
· Communicate effectively with technical and non-technical stakeholders about the health and performance of generative AI models.
Minimum Qualifications
· Bachelor's degree in computer science, Data Science, Engineering, or a related field, or equivalent experience.
· Experience in MLOps or related areas, such as DevOps, data engineering, or ML infrastructure.
· Proven experience in ML Ops, LLM Ops, or related roles, with hands-on experience deploying and managing machine learning and large language model pipelines Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads.
· Strong understanding of CI/CD principles and containerization technologies like Docker and Kubernetes.
· Familiarity with monitoring and alerting tools for ML systems (e.g., Prometheus, Grafana).
· Excellent communication, collaboration, and problem-solving skills.
· Ability to work independently and as part of a team.
· Passion for Generative AI and its potential to revolutionize various industries.
Interested person please do share their resume here
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