Principal ML Ops Architect
6 days ago
Responsibilities:
1.
Strategic Leadership:a.
Define and drive the overall ML Ops strategy and roadmap for the organization aligning it with business objectives and technical capabilities.b.
Oversee the design development and implementation of ML Ops platforms frameworks and processes.c.
Foster a culture of innovation and continuous improvement within the ML Ops team. 2.
Technical Architecture:a.
Design and implement scalable reliable and efficient ML Ops architectures.b.
Select and integrate appropriate tools technologies and frameworks to support the ML lifecycle.c.
Ensure compliance with industry best practices and standards for ML Ops. 3.
Team Management:a.
Lead and mentor a team of ML Ops engineers and architects.b.
Foster collaboration and knowledge sharing among team members.c.
Provide technical guidance and support to data scientists and engineers. 4.
Innovation and Research:a.
Stay uptodate with emerging ML Ops trends and technologies.b.
Research and evaluate new tools and techniques to enhance ML Ops capabilities.c.
Contribute to the development of innovative ML Ops solutions. Minimum Required Skills:
11 years of experience preferred.Proven track record of designing and implementing largescale ML pipelines and infrastructure.Experience with distributed computing frameworks (Spark Hadoop)Knowledge of graph databases and auto ML libraries
Bachelors / Master
s degree in computer science analytics mathematics statisticsStrong 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 problemsolving and analytical skills.Ability to plan execute and take ownership of task.Keywords
ML Ops / MLOps Architect
Azure DevOps
Docker
Kubernetes
TensorFlow
MLFlow
Pipeline
Machine Learning Platform Engineer
Data Science Platform Engineer
DevOps Engineer (with ML focus)
AI Engineer
Data Engineer
Cloud Engineer (with ML focus)
Software Engineer (with ML focus)
Model Deployment Specialist
MLOps Architect
CI/CD
PyTorch
Scikitlearn
Cloud Computing
Big Data
Azureo
Azure Machine Learning
GCPo
Vertex AI
AWSo
Amazon SageMaker 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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