ZipRecruiter

Log In

2

Remote Aws Machine Learning Jobs in Leander, TX (NOW HIRING)

TTEC Digital

AWS Sr. Developer Node.js/TypeScript

Austin, TX · Remote

$52.50 - $67.75/hr

This is a remote role based in the United States. As a core member of our Managed Services Practice ... A genuine love of technology and continuous learning, particularly the latest services and best ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Dlapiper

Data Scientist

Austin, TX · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Self Financial, Inc.

Senior DevOps Engineer

Austin, TX · On-site +1

$130K - $160K/yr

Experience with MLOps (DevOps for Machine Learning) Base salary range: $130,000 - $160,000 annually ... Remote work arrangements/ flexible work schedule * Paid parental leave Self Financial requires all ...

Riverbed Technology, Inc.

Channel Sales Manager

Austin, TX · Remote

$155K/yr

With over 20 years of experience in data collection and AI and machine learning, Riverbed's open ... Home/Remote TX, IL, or NY Areas. Riverbed is seeking a high-performing Channel Sales Manager to ...

Riverbed Technology, Inc.

Channel Sales Manager

Austin, TX · On-site +1

$148K/yr

With over 20 years of experience in data collection and AI and machine learning, Riverbed's open ... Home/Remote TX, IL, or NY Areas. Riverbed is seeking a high-performing Channel Sales Manager to ...

Riverbed Technology, Inc.

Channel Sales Manager

Austin, TX · Remote

$155K/yr

With over 20 years of experience in data collection and AI and machine learning, Riverbed's open ... Home/Remote TX, IL, or NY Areas. Riverbed is seeking a high-performing Channel Sales Manager to ...

Hired Recruiters

Senior Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

previous page

Showing results 41-60

All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Leander, TX

Remote Aws Machine Learning information

What is a remote AWS Machine Learning job?

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 are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

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 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 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 job categories do people searching Remote Aws Machine Learning jobs in Leander, TX look for?

The top searched job categories for Remote Aws Machine Learning jobs in Leander, TX are:

What cities near Leander, TX are hiring for Remote Aws Machine Learning jobs?

Cities near Leander, TX with the most Remote Aws Machine Learning job openings:

Remote Aws Machine Learning jobs near you

AWS Sr. Developer Node.js/TypeScript

TTEC Digital

Austin, TX • Remote

$52.50 - $67.75/hr

Full-time

Re-posted 13 days ago

Job description

TTEC Digital is seeking an MSP Sr. Developer to join our AWS Partner Practice. This is a remote role based in the United States. As a core member of our Managed Services Practice (MSP), you will shift focus from project-based delivery to ongoing managed services — owning, operating, and continuously improving AWS-based solutions for our clients over the long term. 

Our MSP teams function as autonomous units supporting multiple client environments simultaneously. Unlike project delivery teams, MSP teams are responsible for the health, reliability, and evolution of live production systems. You will lead a team of 3–4 developers, working closely with a dedicated MSP project/service manager and Technical Account Managers to handle incident response, change management, continuous improvement initiatives, and proactive infrastructure enhancements. 

The MSP Sr. Developer reports to the Executive Director and is expected to contribute to Best Practice Documentation and internal tooling standards across the organization. 

What You Will Be Doing:

  • Leading daily standups and service review meetings with your internal team and clients as needed, covering ongoing incidents, change requests, and operational health. 

  • Owning the operational stability of client AWS environments — monitoring, incident response, root cause analysis, and remediation. 

  • Managing and executing change requests and enhancement work through Jira, including infrastructure-as-code updates using CloudFormation and Serverless Framework templates. 

  • Collaborating with clients on roadmap planning, translating evolving business needs into actionable backlog items for your MSP team. 

  • Mentoring junior developers on both technical skills and the discipline required for managed services: documentation, runbooks, and SLA awareness. 

  • Staying current on the latest AWS services and broader cloud industry trends, proactively identifying opportunities to improve client environments. 

  • Contributing to internal MSP best practices, tooling, and playbooks to improve team efficiency and service quality. 

  • Handling professional conflict constructively — the lead has final say on technical decisions and is responsible for maintaining team morale and cohesion. 

What You Will Bring:

  • 7+ years of development experience with a strong, recent focus on Node.js/TypeScript and AWS services. 

  • Demonstrated expert knowledge of AWS services and cloud architecture, including Lambda, DynamoDB, S3, CloudFormation, RDS, Redshift, and VPC/network configurations. 

  • Experience operating in a managed services or operational support environment — not just project delivery — with an understanding of SLAs, incident management, and change control. 

  • Thorough knowledge of agile and ITSM methodologies; comfortable blending Scrum practices with service management disciplines. 

  • Ability to mentor junior team members constructively, fostering growth while maintaining strong team relationships. 

  • A mindset of seeking to understand before prescribing a solution — essential in long-term client relationships. 

  • Willingness to stand behind your convictions while committing to team decisions. 

  • A genuine love of technology and continuous learning, particularly the latest services and best practices from AWS. 

 Desired Skills

  • Experience with the Serverless Framework (serverless.com). 

  • Python development experience. 

  • Familiarity with observability and monitoring tools (e.g., CloudWatch) 

  • Background in Amazon Connect or contact center technology. 

  • Experience designing and integrating AI/ML solutions using AWS AI services such as Amazon Lex, Bedrock, SageMaker, Comprehend, or Transcribe. 

  • Familiarity with large language model (LLM) integration patterns, prompt engineering, and AI-powered automation within cloud-native architectures. 

  • Experience with natural language processing (NLP) and conversational AI, including chatbot development and voice/chat automation. 

#LI-JF1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.