Principal ML Ops Architect

Tetrahed INC

Posted on : 21-09-2024

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1 Vacancy

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Job Location

Bangalore/Bengaluru - India

Salary

Not Disclosed

Salary Not Disclosed

Vacancy

1 Vacancy

Posted on : 21-09-2024

Job Description

Principal ML Ops Architect

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 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 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

Azure

o Azure Machine Learning

GCP

o Vertex AI

AWS

o 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

Employment Type

Full Time

Company Industry

Key Skills

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About Company

Tetrahed INC

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Principal ML Ops Architect

Tetrahed INC

Job Description

Principal ML Ops Architect

Keywords

Employment Type

Company Industry

Key Skills

About Company

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