Principal MLOps Engineer

2 Months ago • All levels • Artificial Intelligence • $191,600 PA - $279,000 PA

Job Summary

Job Description

This role involves architecting, building, and optimizing an ML inference platform. The Principal ML Ops Engineer will collaborate with cross-functional teams, translating business objectives into robust engineering solutions. Responsibilities include developing and operating high-performance, cost-effective inference systems for diverse models (including LLMs), providing technical leadership and mentorship, and optimizing data infrastructure for machine learning and deep learning models. The ideal candidate possesses extensive experience in building and scaling ML inference platforms in production environments.
Must have:
  • Design and implement scalable ML inference systems
  • Experience with TensorFlow, Keras, or Spark MLlib
  • Strong ML algorithms, NLP, and statistical modeling knowledge
  • Fundamental CS concepts (algorithms, distributed systems)
  • Problem-solving and innovative solution design
  • Effective remote collaboration and communication
  • Apache Hadoop ecosystem experience (Oozie, Pig, Hive, MapReduce)
  • GCP and Vertex AI expertise

Job Details

About the Role:

We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.

What you will be doing:

    • Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
    • Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.
    • Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.
    • Provide technical leadership and mentorship to foster a high-performing engineering team.

Requirements:

    • Proven track record in designing and implementing cost-effective and scalable ML inference systems. 
    • Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib. 
    • Solid foundation in machine learning algorithms, natural language processing, and statistical modeling. 
    • Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management. 
    • Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.
    • Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.
    • Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
    • Expertise in public cloud services, particularly in GCP and Vertex AI.
The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY, and WA. This information applies only to individuals working in these states.
 
·       The anticipated starting pay range for Colorado is: $204,000 - $255,00
·       The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $191,600 - 239,500
·       The anticipated starting pay range for California, New York City and Washington is: $223,200 - 279,000
 
Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on benefits offered is here.


#LI-VM1
#Rackspace
#LI-Rackspace
#LI-USA
#LI-Remote


About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
 
 
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
 
 

Similar Jobs

Netflix - Research Scientist (L6) - Identity Algorithms

Netflix

Los Gatos, California, United States (On-Site)
7 Months ago
Ubisoft - Lead R&D Scientist

Ubisoft

Shanghai, Shanghai, China (On-Site)
1 Month ago
Scale AI - AI Infrastructure Engineer, Model Serving Platform

Scale AI

San Francisco, California, United States (On-Site)
1 Month ago
bytedance - Software Engineer Graduate (Applied Machine Learning - Engine) - 2025 Start (BS/MS)

bytedance

San Jose, California, United States (On-Site)
7 Months ago
Scale AI - Senior Software Engineer, GenAI Model Evaluation

Scale AI

San Francisco, California, United States (On-Site)
7 Months ago
Playtika - LMS Operation & Learning Partner

Playtika

Israel (On-Site)
1 Month ago
Postman - Software Engineer - Applied AI Engineer

Postman

Bengaluru, Karnataka, India (On-Site)
7 Months ago
Ion - AI Engineer - Graduate Development Program

Ion

Pisa, Tuscany, Italy (On-Site)
7 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Reddit - Senior Machine Learning Manager

Reddit

United States (Remote)
2 Weeks ago
Qualcomm - AI/ML framework Staff Engineer

Qualcomm

Bengaluru, Karnataka, India (On-Site)
1 Week ago
Cerence - Principal Machine Learning Operations Developer - Inference Optimization

Cerence

Montreal, Quebec, Canada (Hybrid)
1 Month ago
bytedance - Tech Lead Manager - Code AI

bytedance

San Jose, California, United States (On-Site)
4 Months ago
Reality Games - Machine Learning Engineer - Monopoly World

Reality Games

Kraków, Lesser Poland Voivodeship, Poland (On-Site)
3 Months ago
bytedance - Video Analysis and Quality Algorithm Intern 2023 Summer/Fall (PHD)

bytedance

San Jose, California, United States (On-Site)
7 Months ago
The Walt Disney Company - Lead Software Engineer, Machine Learning - Ad Platforms

The Walt Disney Company

San Francisco, California, United States (On-Site)
6 Months ago
Reddit - Staff Machine Learning Engineer, Ads Measurement

Reddit

United States (Remote)
1 Week ago
Luxoft - Senior ML Engineer

Luxoft

Poland, Ohio, United States (Remote)
5 Months ago
Scale AI - Machine Learning Engineer

Scale AI

San Francisco, California, United States (On-Site)
2 Weeks ago

Get notifed when new similar jobs are uploaded

Jobs in undefined

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

Artificial Intelligence Jobs

bytedance - Student Researcher (Doubao (Seed) - Generative AI)

bytedance

San Jose, California, United States (Hybrid)
1 Month ago
Playtika - LMS Operation & Learning Partner

Playtika

Israel (On-Site)
1 Month ago
PwC - Manager_Conversational AI Developer_Advisory Corporate_Advisory_Bangalore

PwC

Bengaluru, Karnataka, India (On-Site)
8 Months ago
NVIDIA - Senior Solutions Architect, Global Partner Team

NVIDIA

Canada (On-Site)
4 Months ago
bytedance - Research Scientist Graduate (Foundation Model, Video Generation) - 2025 Start (PhD)

bytedance

Seattle, Washington, United States (On-Site)
7 Months ago
DNEG - Head of Machine Learning

DNEG

London, England, United Kingdom (Remote)
2 Months ago
Google - Senior Staff Software Engineer, BigQuery Generative AI

Google

Kirkland, Washington, United States (On-Site)
1 Month ago
Ion - AI Engineer - Graduate Development Program

Ion

Pisa, Tuscany, Italy (On-Site)
7 Months ago
Talentica Software - Data Scientist

Talentica Software

India (Remote)
8 Months ago
Rackspace Technology - Principal MLOps Engineer

Rackspace Technology

San Antonio, Texas, United States (Remote)
2 Months ago

Get notifed when new similar jobs are uploaded

About The Company

Gurugram, Haryana, India (Remote)

Bengaluru, Karnataka, India (Remote)

Gurugram, Haryana, India (Remote)

Toronto, Ontario, Canada (Remote)

Jalisco, Mexico (Remote)

Gurugram, Haryana, India (Remote)

View All Jobs

Get notified when new jobs are added by Rackspace Technology

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug