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

Senior Data Engineer

Austin, TX ยท On-site +1

$144K - $187K/yr

Hands-on experience preparing and managing data for machine learning and LLM workflows * Strong ... Practical experience using DynamoDB and other AWS-native data services at scale * Effective ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Staff Data Engineer

Leander, TX ยท On-site +1

$130K - $150K/yr

... using machine learning models; * Experience in key DevOps/Infrastructure technologies such as AWS ... and remote work policies Company issued Mac products for home offices Cell phone service ...

Channel Revenue Manager

Austin, TX ยท Remote

$148K - $149K/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 ...

Channel Revenue Manager

Austin, TX ยท Remote

$148K - $149K/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 ...

Channel Revenue Manager

Austin, TX ยท On-site +1

$148K - $149K/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 ...

Principal Software Engineer - 26219

Austin, TX ยท On-site +1

$133K - $179K/yr

Our platform combines distributed systems, machine learning, large-scale data processing, and ... Experience working with Kubernetes and a major cloud platform (AWS, GCP, or Azure). * Strong ...

Senior Software Engineer

Austin, TX ยท 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:

Showing results 41-60

Remote Aws Machine Learning information

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 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 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 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:

Senior Data Engineer

SpyCloud

Austin, TX โ€ข On-site, Remote

$144K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloudโ€™s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If youโ€™re driven to align your career with a fantastic mission, look no further!

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data systems, working closely with Product Management, SpyCloud Labs, and Engineering teams. Your focus will be on modernizing our data platform utilizing Databricks and serving customers via purpose-built data stores (RDS, Elasticsearch, DynamoDBโ€ฆetc), This is a hands-on, strategic leadership role shaping the future of data at SpyCloud.

What You\'ll Do:

  • Redesign and modernize data architecture for scalability, performance, and AI-readiness
  • Use databricks/spark to prepare, transform and serve data to customers
  • Build and optimize real-time and batch data pipelines using AWS tools (e.g, Lambda, S3, DynamoDB, ECS, EKS, Terraform)
  • Design systems to prepare and serve high-quality data for ML models and LLM applications
  • Optimize cost and performance of daily data ingestion, transformation, and storage workflows
  • Work with Product and Engineering teams to ensure data solutions meet product requirements
  • Evaluate and implement modern tooling for data processing, ML data workflows, and observability
  • Guide and mentor data engineers, championing best practices and technical excellence
  • Ensure operational data quality, security, and reliability across systems
  • Lead long-term data architecture planning aligned with company and AI-driven goals

Requirements:

  • 8+ years of experience in data engineering or closely related disciplines
  • 2+ years in a technical leadership or senior engineering role
  • Experience building and operating Lakehouse, Databricks, or large-scale distributed data lake architectures in AWS
  • Knowledge of distributed systems as it pertains to data storage and computing
  • Experience building and managing large Elasticsearch/Opensearch data stores
  • Hands on experience building ETL scripts
  • Hands-on experience preparing and managing data for machine learning and LLM workflows
  • Strong development skills in Python, especially in building data-intensive systems
  • Practical experience using DynamoDB and other AWS-native data services at scale
  • Effective communication and collaboration across technical and non-technical stakeholders
  • Proven ability to mentor and grow engineering talent and lead large-scale initiatives

Nice to Have

  • Familiarity with AI/ML tools such as SageMaker, LangChain, or vector databases
  • Understanding of data governance, privacy, and compliance in AI contexts
  • Comfort working in fast-paced environments with evolving product and technical requirements
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related STEM field
  • C programming language experience
  • Go programming language experience
  • Experience with password cracking tools

Base Salary Range: $144,000 โ€“ $187,000

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.

U.S.-Based Benefits + Perks (for Full Time Employees):

At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. In addition to our engaging workspace in South Austin, flexible and remote-friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes:

  • 401(k) with Employer Contribution
  • Health, Vision, and Dental Insurance
    • Health Savings Account (HSA) available with Employer Contribution
  • Employer Paid Life, Short-term, and Long-term Disability Insurance
  • Generous PTO Plan and 16 paid holidays per year

U.K.-Based Benefits + Perks (for Full Time Employees):

  • Retirement Savings Plan with Employer Contribution
  • Employer Provided Private Health Insurance and Healthcare Cashplan
  • Employer Paid Life Insurance and Income Replacement
  • Generous Holiday Plan and 14 paid holidays per year

About SpyCloud:

SpyCloud transforms recaptured darknet data to disrupt cybercrime. Its automated identity threat protection solutions use advanced analytics and AI to accelerate investigations and  protect workforce, consumer, and supplier identities from the threats that matter most: authentication bypass, session hijacking, malicious insiders, account takeover, ransomware, and fraud. Its data from malware-infected devices, successful phishes, combolists, and third-party breaches also powers many popular dark web monitoring and identity theft protection offerings. Customers include 7 of the Fortune 10, along with hundreds of global enterprises, mid-sized companies, and government agencies worldwide. Headquartered in Austin, TX, SpyCloud is home to more than 250 cybersecurity experts whose mission is to protect businesses and consumers from the stolen identity data criminals are using to target them now.
To learn more and see insights on your company\'s exposed data, visit spycloud.com.

Our Mission:

Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminalsโ€™ ability to profit from stolen information.

Who We Are:

SpyCloud is a place for innovative, collaborative, and problem-solvers to thrive. Individually, weโ€™re amazing, but together, weโ€™re unstoppable. We celebrate diversity and various perspectives and aim to create an inclusive and supportive environment for all. We are proud to be an Equal Employment Opportunity and Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply. SpyCloud complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

SpyCloud expressly prohibits any form of workplace harassment. Improper interference with the ability of SpyCloud\'s employees to perform their job duties may result in discipline up to and including discharge. SpyCloud shares the right to work and participates in the E-Verify program in all locations.

If you need assistance or accommodation due to a disability, you may contact us.

Our Culture:

Our culture is something really special. Weโ€™re all driven to disrupt the cybercriminal economy as we keep customer accounts safe from compromise. We support a truly worthy and serious mission, but we have fun doing it together. If you are driven, inventive, and collaborative, youโ€™ll fit right in.

SpyCloudโ€™s Recruitment Policy:

We will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with SpyCloud to review available information on recruitment fraud. Anyone who suspects that they have been contacted by someone falsely representing SpyCloud should email careers@spycloud.com.

Compensation Transparency Policy: 

At SpyCloud, we believe in transparency and fairness in compensation. We strive to ensure that all employees are fairly compensated for their contributions, and we openly discuss our compensation philosophy and structure. We are committed to providing competitive salaries and benefits packages to attract and retain top talent, and we encourage open dialogue and feedback regarding compensation matters.

Learn more and apply: SpyCloud Careers

SpyCloud is not sponsoring visas at this time.

For applicants residing in California, please click here to read SpyCloud\'s CCPA Notice.

For applicants residing in the UK, please click here to read SpyCloud\'s Employee Privacy Notice.