Senior MLOps Engineer
3 weeks ago
Job Title: MLOps Engineer - Visual Generative AI
Hybrid: Hyderbad
Join a pioneering visual Generative AI company at the forefront of innovation. We specialize in leveraging cutting-edge technologies to create stunning visual content, pushing the boundaries of creativity and imagination. We're seeking a talented MLOps Engineer to join our dynamic team and drive optimization, cost reduction, throughput enhancement, and rapid delivery of our groundbreaking projects.
About the Role:
As an MLOps Engineer, you'll play a critical role in optimizing orchestration processes, reducing costs, upgrading throughput, and ensuring fast and efficient project delivery. You'll work closely with our engineering and data science teams to streamline our machine learning operations pipeline and implement best practices for managing and deploying our visual Generative AI models.
Requirements:
- Extensive experience as an MLOps Engineer or similar role, with a proven track record of optimizing machine learning pipelines and infrastructure.
- Experience video / video generation experience, someone coming from an environment of having to scale up inference to very large degrees.
- Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Experience with orchestration tools and frameworks such as Airflow, Kubeflow, or MLflow.
- Excellent problem-solving skills and the ability to troubleshoot complex issues in a fast-paced environment.
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Why Join Us:
- Be part of a visionary team driving innovation in visual Generative AI.
- Work on cutting-edge projects that push the boundaries of creativity and imagination.
- Enjoy a dynamic and collaborative work environment where your ideas are valued and encouraged.
- Take on exciting challenges and make a meaningful impact on the future of AI and creative technology.
Please apply for more details
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