Senior Machine Learning Operations Architect

4 weeks ago


Bengaluru, Karnataka, India Tetrahed INC Full time

Job Title: Principal ML Ops Architect

About the Role:

Tetrahed INC is seeking a highly skilled Principal ML Ops Architect to lead the design, development, and implementation of our machine learning operations platforms, frameworks, and processes. As a key member of our team, you will be responsible for defining and driving the overall ML Ops strategy and roadmap, aligning it with business objectives and technical capabilities.

Key Responsibilities:

  • Strategic Leadership: Define and drive the overall ML Ops strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.
  • Technical Architecture: Design and implement scalable, reliable, and efficient ML Ops architectures, selecting and integrating appropriate tools, technologies, and frameworks to support the ML lifecycle.
  • Team Management: Lead and mentor a team of ML Ops engineers and architects, fostering collaboration and knowledge sharing among team members.
  • Innovation and Research: Stay up-to-date with emerging ML Ops trends and technologies, researching and evaluating new tools and techniques to enhance ML Ops capabilities.

Requirements:

  • 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, or statistics.
  • Strong experience in Python, SQL.
  • Solid understanding and knowledge of containerization technologies (Docker, Kubernetes).
  • Proficient 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.

What We Offer:

  • Opportunity to work with a leading company in the field of machine learning.
  • Collaborative and dynamic work environment.
  • Competitive salary and benefits package.

How to Apply:

Please submit your resume and a cover letter to [insert contact information].



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