Principal MLOps Architect
2 months ago
Responsibilities :
Strategic Leadership :
- 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.
- Foster a culture of innovation and continuous improvement within the ML Ops team.
Technical Architecture :
- Design and implement scalable, reliable, and efficient ML Ops architectures.
- Select and integrate appropriate tools, technologies, and frameworks to support the ML lifecycle.
- Ensure compliance with industry best practices and standards for ML Ops.
Team Management :
- Lead and mentor a team of ML Ops engineers and architects.
- Foster collaboration and knowledge sharing among team members.
- Provide technical guidance and support to data scientists and engineers.
Innovation and Research :
- Stay up-to-date with emerging ML Ops trends and technologies.
- Research and evaluate new tools and techniques to enhance ML Ops capabilities.
- Contribute to the development of innovative ML Ops solutions.
Minimum Required Skills :
- 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
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