Remote Jobs

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Senior Machine Learning Engineer - Vietnam remotely

Rackspace

Location
Viet Nam
Posted

Senior Machine Learning Engineer - Vietnam remotely: Deliver ML models and pipelines that solve real-world business problems using cloud-based architectures and technologies.

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Senior Machine Learning Engineer

reserv

Location
United States of America
Posted

Senior Machine Learning Engineer at Reserv, developing AI models and machine learning solutions for insurtech company

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Senior Machine Learning Engineer

CAST AI

Location
Croatia
Posted
Salary Range
78k - 108k EUR

Design and deploy sophisticated data models at CAST AI, leveraging cloud-native technologies and contributing to machine learning operations. Collaborate with cross-functional teams and stay ahead of industry trends while enjoying benefits like flexible work hours and company equity.

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Senior Machine Learning Engineer

Apollo.io

Location
India
Posted

Build and productionize Machine Learning models for Apollo products like Search and Recommendations. Leverage data to predict user behaviors and optimize their experience. Improve ML stack and maintain scalable data pipelines.

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Senior Machine Learning Engineer

Kueski

Location
Mexico
Posted

Design and build scalable pipelines for data preparation and automate machine learning models

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Senior Machine Learning Engineer

Invisible Technologies

Location
British Virgin Islands
Posted

Senior Machine Learning Engineer at Invisible Technologies: Build robust backend systems, optimize cloud infrastructure, and collaborate on advanced ML technologies.

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Senior Machine Learning Engineer

Entefy

Location
United States of America
Posted

Senior Machine Learning Engineer at Entefy: Unstructured data classification & clustering expertise required.

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Senior Machine Learning Engineer

Splice

Location
United States of America
Posted
Salary Range
165k - 206k USD

Senior Machine Learning Engineer for generative audio/music applications

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Senior Machine Learning Engineer - Ai

Wasabi Technologies

Location
United States of America
Posted

Senior Machine Learning Engineer for AI/ML product Wasabi AiR, driving advancements in AI, computer vision, and NLP, with a focus on scalability and reliability.

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Senior Machine Learning Engineer - Poe

Quora

Location
Canada
Posted
Salary Range
218k - 276k USD

Develop innovative ML solutions for Quora's Poe platform, focusing on NLP, LLMs, and recommender systems. Collaborate with teams to build AI-driven features and contribute to the growth of a leading knowledge-sharing platform.

Machine Learning Engineer

Coursera

Location
India
Posted

Join Coursera's Machine Learning team and contribute to creating personalized learning experiences through AI-powered technologies.

Senior Machine Learning Scientist

Coursera

Location
India
Posted

Join Coursera's Discovery Science ML team to develop hyper-personalized recommender systems using machine learning techniques.

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AI Machine Learning Engineer

Welocalize

Location
Romania
Posted

Develop machine learning solutions for localization and business workflow processes using Python and AWS services.

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AI Machine Learning Engineer

Welocalize

Location
Spain
Posted

Develop and implement machine learning models for localization and business workflow processes using Python and AWS services.

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AI Machine Learning Engineer

Welocalize

Location
Greece
Posted

Machine Learning Engineer for localization and business workflow processes using AWS services and Docker

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Lead Machine Learning Engineer

hims & hers

Location
United States of America
Posted
Salary Range
190k - 230k USD

Lead Machine Learning Engineer with 10+ years of experience in Engineering and/or Machine Learning

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Lead Machine Learning Engineer

Superside

Location
Cameroon
Posted

Lead Machine Learning Engineer for scalable data pipelines and AI integration at Superside

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Senior Machine Learning Engineer - Vietnam remotely

Rackspace

Job Location

Job Summary

We are seeking a Senior Machine Learning Engineer to join our team in Vietnam. As a full spectrum Azure integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. The successful candidate will deliver ML models and pipelines that solve real-world business problems, leveraging cloud-based architectures and technologies. They will work with popular ML frameworks like Scikit Learn, Tensorflow etc., and use programming languages like Python. Our team is committed to you and your growth, both professionally and personally. We offer flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. If you get a thrill working with cutting-edge technology and love to help solve customers' problems, we'd love to hear from you.

As a full spectrum Azure integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.

If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally.

Job Overview:

As a Machine Learning Engineer, you will deliver ML models and pipelines that solve real-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application code. You will leverage cloud-based architectures and technologies to deliver optimized ML models at scale. You will use programming languages like Python and work with popular ML frameworks like Scikit Learn, Tensorflow etc..

If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?

What You’ll Be Doing:

    • Build complex ETL code
    • Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
    • Work on Data and Analytics Tools in the Cloud
    • Develop code using Python, Scala, R languages
    • Work with technologies such as Spark, Hadoop, Kafka, etc.
    • Build complex Data Engineering workflows
    • Create complex data solutions and build data pipelines
    • Establish credibility and build impactful relationships with our customers to enable them to be cloud advocates
    • Capture and share industry best practices amongst the community
    • Attend and present valuable information at Industry Events

Responsibilities:

    • Work on full stack technology, from ML and data to production ready models
    • Demonstrable experience in all aspects of the ML lifecycle (processing, training, evaluating, deploying, serving, monitoring)
    • Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
    • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features.
    • Experience in developing scalable data driven solutions while working closely with infrastructure teams.
    • Experience in dealing with databases and building ETL pipelines
    • Atleast one public Cloud knowledge preferred( AWS/Azure/GCP)
    • Strong software development experience with Python or other programming languageStrong communication and teamwork skills
    • Passionate about techniques and solving challenging problems

Qualifications:

    • Experience building and deploying ML models in a Cloud Platform (Azure is preferred)
    • At least 3 years of experience programming with Python, Scala, or Java2+ years of experience building end-to-end data pipelines
    • 2+ experience working on large-scale data science/data analytics projects

Location

    • This is a remote / virtual role
    • Candidate needs to be based in Vietnam
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.