GenAI-MLOps

4 days ago

Noida, 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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