Principal ML Ops Architect
3 days ago
- 11 years of experience preferred.
- Proven track record of designing and implementing largescale ML pipelines and infrastructure.
- Experience with distributed computing frameworks (Spark Hadoop)
- Bachelors / 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).
- Extensive experience with cloud platforms (AWS GCP Azure) and containerization technologies (Docker Kubernetes).
- Strong problemsolving and analytical skills.
- Ability to plan execute and take ownership of task.
ml,ops,azure,devops,docker,kubernetes,tensorflow,pipeline,machine learning,data science,devops practices,google cloud platform,software engineers,model deployment,ci,cd,pytorch,scikit-learn,cloud computing,big data,gcp,vertex,aws
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Principal ML Ops Architect
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Principal MLOps Architect
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Principal MLOps Architect
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