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Remote Aws Machine Learning Jobs in Oklahoma (NOW HIRING)

Jahnel Group

$45.25 - $60.50/hr

Exposure to AI, machine learning, or AI-driven software initiatives * Proven ability to lead cross ... LATAM & United States Open to 100% Fully Remote Other Information The work hours will be ...

Volt Labs Inc.

Senior QA Engineer

Tulsa, OK · Remote

$115K - $140K/yr

We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ... Own staging and QA environment management within AWS, including deployment of code into pre ...

Volt, Inc

Senior QA Engineer

Tulsa, OK · On-site +1

$115K - $140K/yr

We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ... Own staging and QA environment management within AWS, including deployment of code into pre ...

ABB

OEM Sales Director-Machinery

OK · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Oklahoma

Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote AWS Machine Learning Engineer, and why are they important?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are the most commonly searched types of Aws Machine Learning jobs in Oklahoma? The most popular types of Aws Machine Learning jobs in Oklahoma are:
What are popular job titles related to Remote Aws Machine Learning jobs in Oklahoma? For Remote Aws Machine Learning jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Oklahoma look for? The top searched job categories for Remote Aws Machine Learning jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Aws Machine Learning jobs? Cities in Oklahoma with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you
Scrum Master

Scrum Master

Jahnel Group

Remote

$45.25 - $60.50/hr

Other

Posted 13 days ago

Job description

Jahnel Group's mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. We get to build some of the most complex and compelling applications for our clients located across the country.

We're a fast-growing INC 5000 recognized company, yet we still work as a very close-knit team (100+ employees). We're growing like crazy, and if you're looking for the next place to call home, hit us up for a beer or coffee.

Who We're Looking For

We're seeking an experienced Scrum Master or Project Manager who excels at leading Agile software teams and driving successful project delivery. You'll work closely with cross-functional teams, stakeholders, and clients to ensure projects are delivered efficiently while fostering a collaborative, high-performing Agile environment.

This role is ideal for someone with a strong consulting background who is comfortable managing multiple priorities, facilitating Scrum ceremonies, and helping teams deliver innovative software solutions-including projects leveraging modern AI technologies.

Primary Responsibilities
  • Lead Agile teams by facilitating Scrum ceremonies, including daily stand-ups, sprint planning, sprint reviews, and retrospectives
  • Coach teams on Agile principles and Scrum best practices to improve collaboration, delivery, and continuous improvement
  • Partner with stakeholders, clients, and engineering teams to define priorities, remove blockers, and ensure successful project execution
  • Manage project timelines, risks, dependencies, and deliverables across multiple initiatives
  • Track team progress and communicate project status, milestones, and metrics to internal and external stakeholders
  • Foster a culture of accountability, transparency, and continuous improvement within delivery teams
  • Collaborate with technical leads and product stakeholders to align business goals with technical execution
  • Support teams delivering AI-enabled software solutions and help coordinate cross-functional efforts across engineering, product, and business teams
  • Drive effective communication across distributed teams in a fast-paced consulting environment
 Some Must-Haves:
  • 10+ years of experience as a Scrum Master, Project Manager, or similar Agile delivery role within software development
  • Deep understanding of Scrum methodologies and Agile delivery frameworks
  • Experience working in consulting or client-facing environments, managing multiple stakeholders and concurrent projects
  • Exposure to AI, machine learning, or AI-driven software initiatives
  • Proven ability to lead cross-functional engineering teams and deliver complex software projects successfully
  • Strong communication, facilitation, and stakeholder management skills
  • Experience identifying and removing delivery risks and impediments while keeping projects on track
  • Ability to thrive in fast-paced, collaborative, and evolving software development environments
  • Scrum certification (CSM, PSM, or equivalent) is a plus
Where We're Looking For It:LATAM & United States
Open to 100% Fully Remote
Other Information

The work hours will be approximately 9:00 am to 5:00 pm EST, depending on workload, with the occasional late night when a tight deadline calls for it. We work for security-conscious clients, thus background checks will be required.

Position available immediately.

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