GenAI-MLOps

1 week ago


Noida, Uttar Pradesh, India Karya Consultants Private Limited Full time

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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