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Machine Learning Operations Architect
1 month ago
Job Summary:
We are seeking a highly experienced Principal MLOps Architect to lead our Machine Learning Operations team. The successful candidate will be responsible for designing and implementing large-scale ML pipelines and infrastructure, as well as overseeing the development and implementation of ML Ops platforms, frameworks, and processes.
Key Responsibilities:
- Define and drive the overall ML Ops strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.
- Design and implement scalable, reliable, and efficient ML Ops architectures.
- Lead and mentor a team of ML Ops engineers and architects.
- Stay up-to-date with emerging ML Ops trends and technologies.
- Research and evaluate new tools and techniques to enhance ML Ops capabilities.
Requirements:
- 11+ years of experience in ML Ops, with a proven track record of designing and implementing large-scale ML pipelines and infrastructure.
- Experience with distributed computing frameworks (Spark, Hadoop), graph databases, and auto ML libraries.
- Strong experience in Python, SQL, and containerization technologies (Docker, Kubernetes).
- Proficient in cloud platforms (AWS, GCP, Azure) and ML frameworks (TensorFlow, PyTorch).
- Certifications in cloud platforms or ML technologies can be a plus.
What We Offer:
At Han Digital Solution Ltd, we offer a competitive salary and benefits package, as well as opportunities for professional growth and development.