Principal MLOps Architect
3 weeks ago
At TETRAHED INC, we are seeking a highly skilled Principal MLOps Architect to lead our Machine Learning Operations team. As a key member of our organization, you will be responsible for designing and implementing scalable, reliable, and efficient ML Ops architectures.
Key Responsibilities:- Define and drive the overall ML Ops strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.
- Oversee the design, development, and implementation of ML Ops platforms, frameworks, and processes.
- Lead and mentor a team of ML Ops engineers and architects.
- Stay up-to-date with emerging ML Ops trends and technologies.
- 11+ years of experience preferred.
- Proven track record of designing and implementing large-scale ML pipelines and infrastructure.
- Experience with distributed computing frameworks (Spark, Hadoop).
- Knowledge of graph databases and auto ML libraries.
- Bachelor's / Master's degree in computer science, analytics, mathematics, statistics.
- Strong experience in Python, SQL.
- Solid understanding and knowledge of containerization technologies (Docker, Kubernetes).
- Proficient in Experience in CI/CD pipelines, model monitoring, and MLOps platforms (Kubeflow, MLFlow).
- Proficiency in cloud platforms, containerization, and ML frameworks (TensorFlow, PyTorch).
- Certifications in cloud platforms or ML technologies can be a plus.
- Extensive experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Strong problem-solving and analytical skills.
- Ability to plan, execute and take ownership of task.
At TETRAHED INC, we offer a dynamic and innovative work environment, competitive salary, and opportunities for professional growth and development.
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Principal MLOps Architect
3 weeks ago
Anywhere in India/Multiple Locations TETRAHED INC Full timeJob Title: Principal MLOps ArchitectJob 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 scalable, reliable, and efficient ML Ops architectures, as well as overseeing the development and implementation of ML Ops...
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