Remote Jobs

Rackspace logo

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.

Upwork logo

Sr Lead Machine Learning Engineer

Upwork

Location
United States of America
Posted
Salary Range
195k - 308k USD

Lead AI/ML initiatives at Upwork, mentor teams, conduct research, and deploy cutting-edge models. Enjoy competitive salary and excellent benefits in a remote-first environment.

Hightouch logo

Machine Learning Engineer - AI Decisioning

Hightouch

Location
British Virgin Islands
Posted
Salary Range
200k - 260k USD

Build an intelligence layer using machine learning to help companies personalize messages, automate experiments, predict customer behavior, and optimize marketing spend. Collaborate on various ML projects and infrastructure at Hightouch.

Runway logo

Engineering Manager - Machine Learning

Runway

Location
Canada
Posted

Engineering Manager for ML-based features at Runway, leading high-performing teams and developing state-of-the-art systems.

hims & hers logo

Lead Product Manager - Machine Learning

hims & hers

Location
United States of America
Posted

Lead machine learning product initiatives for Hims & Hers, driving innovation and leveraging data to enhance customer experiences in healthcare delivery.

Dropbox logo

Senior Machine Learning Engineer, Dash - Ranking and Recommendations

Dropbox

Location
Canada
Posted
Salary Range
200k - 270k CAD

Design and deploy large-scale machine learning systems at Dropbox to enhance user collaboration and organization. Work with cross-functional teams to integrate AI/ML advancements into products, utilizing tools like PyTorch and Scikit-learn.

KoBold Metals logo

Machine Learning Engineer, Staff or Principal

KoBold Metals

Location
Canada
Posted
Salary Range
200k - 275k USD

Build ML systems for mineral exploration at KoBold. Collaborate with data scientists and geologists to predict ore locations using advanced tools and techniques.

Plaid logo

Experienced Software Engineer - Machine Learning Infra

Plaid

Location
United States of America
Posted
Salary Range
183k - 297k USD

Design and develop the Feature Store platform at Plaid, leading strategic initiatives in ML infrastructure to support fintech innovations.

OfferFit logo

Associate, Machine Learning Engagement Management

OfferFit

Location
Canada
Posted
Salary Range
12k - 134k USD

Join OfferFit's Implementation team as an Associate, Machine Learning Engagement Management, and lead the AI transformation in marketing technology.

OfferFit logo

Manager, Machine Learning Engagement Management

OfferFit

Location
Canada
Posted
Salary Range
21k - 160k USD

Manager, Machine Learning Engagement Management at OfferFit, leading AI decisioning engine with 1:1 personalization for lifecycle marketing campaigns.

Gitlab logo

Intermediate Machine Learning Engineer - AI Powered: AI Framework

Gitlab

Location
Anywhere in the world
Posted

Design and implement technical evaluators for LLM assessment, contribute to evaluation infrastructure consolidation efforts, build scalable evaluation pipelines and frameworks, develop and manage datasets and evaluation metrics, collaborate with feature teams to integrate validation solutions, optimize performance across ML evaluation systems, support improvements to GitLab’s AI-powered tools through validation, and ensure all solutions align with GitLab’s infrastructure and security protocols.

JumpCloud logo

Senior Learning Specialist - India

JumpCloud

Location
India
Posted

Senior Learning Specialist at JumpCloud: Design content, facilitate virtual sessions, and support professional growth programs in a remote-first environment.

Rackspace logo

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.