Principal MLOps Architect

1 week ago


Bangalore, India Han Digital Solution (P) Ltd Full time

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

(ref:hirist.tech)
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