MLOps Engineer

Please note:
Candidates should be located in EST Time Zone.
Need to Travel to any of these locations (Pennsylvania, NYC, Toronto) 2-3 weeks initially to understand the project after that 3-4 days in a month.

Qualifications:
·       Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
·       8+ years of experience in MLOps or related areas, such as DevOps, data engineering, or ML infrastructure.
·       Proven experience in automating ML pipelines with tools like MLflow, Kubeflow, Airflow, etc.
·       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.