Senior ML Ops Architect - Scale ML Platforms

Tiger Analytics; Dallas (TX); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Career development opportunities

Collaborative work environment

Challenging projects

Job summary

An advanced analytics consulting firm in Dallas is seeking a Senior ML OPS Engineer. This role involves implementing scalable machine learning systems, deploying data pipelines, and collaborating closely with cross-functional teams. Key qualifications include a Master's degree, extensive experience with Python, and expertise in cloud services like Azure. Ideal candidates will thrive in a fast-paced environment with opportunities for career growth.

Qualifications

• 7+ years of work experience in advanced analytics solutions.
• 4+ years of programming experience with Python.
• 3+ years of experience building data-intensive solutions.
• 3+ years of experience in maintaining models.

Responsibilities

• Implement scalable systems for model inference.
• Deploy and manage ML data pipelines in production.
• Work on containerization for model deployment.
• Collaborate in an Agile team to enhance ML applications.
• Implement robust monitoring for model performance.

Skills

Understanding of Azure stack

Building and deploying AI/Machine Learning solutions

Developing and maintaining APIs

Infrastructure as code experience

Complex data & feature pipelines

Proficient in programming languages and MLOps technologies

Unix Shell scripting

Security and compliance knowledge

Experience with visualization technologies

Familiarity with data privacy standards

Education

Master's or doctoral degree in related field

Tools

Azure Machine Learning

AWS

Google Cloud Platform

Python

Spark

DataBricks

GitHub

MLFlow

Airflow

Tableau

PowerBI

Job description

An advanced analytics consulting firm in Dallas is seeking a Senior ML OPS Engineer. This role involves implementing scalable machine learning systems, deploying data pipelines, and collaborating closely with cross-functional teams. Key qualifications include a Master's degree, extensive experience with Python, and expertise in cloud services like Azure. Ideal candidates will thrive in a fast-paced environment with opportunities for career growth.