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Junior Aws Machine Learning Jobs (NOW HIRING)

AssetMark

Junior AWS Operations Engineer

Austin, TX

Prior AWS certification Learning, Certification, and Growth We actively invest in the growth of our ... You'll join alongside another junior engineer in the same role * You'll be mentored by three ...

CGI Inc.

Senior AWS Cloud Architect

Lafayette, LA · On-site

$61.75 - $81.25/hr

AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted ...

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Junior Aws Machine Learning information

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How much do junior aws machine learning jobs pay per year?

As of Jun 28, 2026, the average yearly pay for junior aws machine learning in the United States is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $95,500.00 per year, depending on experience, location, and employer.

What are Junior AWS Machine Learning engineers?

Junior AWS Machine Learning engineers are entry-level professionals who work with Amazon Web Services (AWS) to develop, deploy, and maintain machine learning models. They assist in data preparation, model training, and integration of AI solutions using AWS tools such as SageMaker, Lambda, and S3. These engineers often collaborate with data scientists and software teams to implement predictive analytics and automation solutions on the AWS cloud platform. Their role typically involves learning best practices for cloud security, data handling, and scalable machine learning deployment.

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

To thrive as a Junior AWS Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AWS services like SageMaker, Lambda, and S3, as well as certifications such as AWS Certified Machine Learning – Specialty, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly help you stand out in this role. These skills and qualities are crucial for efficiently developing, deploying, and maintaining machine learning solutions on AWS in collaborative, fast-paced environments.

What are some common challenges faced by Junior AWS Machine Learning Engineers when deploying models to production environments?

Junior AWS Machine Learning Engineers often encounter challenges such as managing the scalability of their models, ensuring data security and compliance in the cloud, and integrating machine learning pipelines with existing AWS services. Since production environments require high reliability, newcomers may also need to learn how to monitor model performance and troubleshoot issues using AWS tools like SageMaker and CloudWatch. Collaborating closely with data engineers and DevOps teams is essential to streamline deployment and maintain model accuracy over time.

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

AspectJunior Aws Machine LearningData Scientist
Required CredentialsBasic AWS certifications, entry-level ML knowledgeAdvanced degrees, certifications like AWS, data analysis skills
Work EnvironmentCloud platforms, machine learning projects, collaborative teamsData analysis, modeling, research, cross-functional teams
Employer & Industry UsageTech companies, startups, cloud service providersFinance, healthcare, tech, research institutions

Junior AWS Machine Learning roles focus on implementing ML models using AWS tools with foundational knowledge, while Data Scientists typically handle broader data analysis, modeling, and research tasks. The roles overlap in cloud-based ML work but differ in scope and experience level.

More about Junior Aws Machine Learning jobs
What cities are hiring for Junior Aws Machine Learning jobs? Cities with the most Junior Aws Machine Learning job openings:
What are the most commonly searched types of Aws Machine Learning jobs? The most popular types of Aws Machine Learning jobs are:
What states have the most Junior Aws Machine Learning jobs? States with the most job openings for Junior Aws Machine Learning jobs include:
What job categories do people searching Junior Aws Machine Learning jobs look for? The top searched job categories for Junior Aws Machine Learning jobs are:
Junior Aws Machine Learning jobs near you
Infographic showing various Junior Aws Machine Learning job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.
Junior AWS Operations Engineer

Junior AWS Operations Engineer

AssetMark, Inc.

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Job Description:
Voyant is a global enterprise SaaS company providing sophisticated financial planning software used by many of the world's leading banks, wealth management firms, and financial advisors. Our platform runs in AWS and supports multiple production environments across regions, with strong requirements around availability, security, and operational discipline.
Our Operations team is responsible for running production: deploying software, maintaining infrastructure, improving reliability, and continuously strengthening security across dozens of AWS environments.
We can only consider candidates for this position who are able to accommodate a FULLY IN OFFICE work schedule and are close to one of our Austin, TX office.
Why This Role Exists
We are intentionally hiring two junior AWS Operations Engineers at the same time. These two hires will work closely together day-to-day while being mentored by a small team of experienced senior engineers.
This role is designed for someone who:
  • Has a solid technical foundation
  • Enjoys writing code and automation, not just clicking in consoles
  • Is comfortable working with version-controlled codebases (Git)
  • Wants to learn how real production SaaS infrastructure works
  • Is excited by infrastructure as code, scripting, and operational problem-solving
  • Is looking to grow into a strong mid-level operations or platform engineer

You will not be thrown in alone - but you will be expected to learn quickly, ask good questions, and take increasing ownership over time.
What You'll Work On
You'll be part of the team responsible for operating Voyant's AWS environments, gradually taking on more responsibility as your skills grow.
Over time, you will:
  • Help operate and maintain production AWS environments used by real customers
  • Write and maintain automation and infrastructure code stored and reviewed in Git
  • Contribute to our Infrastructure as Code stack (primarily AWS CloudFormation)
  • Build and improve deployment and operational tooling using Jenkins, Python, and Bash
  • Work extensively in Linux environments running Java-based applications
  • Debug and improve automation when things don't behave as expected
  • Assist with maintenance activities such as AMI updates, DR testing, and environment upgrades
  • Collaborate with senior engineers to improve reliability, security, and scalability
  • Learn how to safely operate in security-sensitive, audited production environments

As you grow, you'll begin to:
  • Own small operational projects end-to-end
  • Write tooling that other engineers rely on
  • Troubleshoot real production issues using logs, metrics, and code
  • Participate in an on-call rotation (only after training and ramp-up)

Technologies You'll Learn and Use
You do not need to be an expert in all of these on day one. What matters most is being comfortable writing code, reading other people's code, and learning new systems.
Core technologies:
  • AWS (EC2, RDS, VPC, ALB, IAM, CloudFormation, S3, Lambda)
  • Linux (Amazon Linux, system-level troubleshooting)
  • Programming and scripting (Python is primary; Bash is also heavily used)
  • Infrastructure as Code (CloudFormation)
  • Configuration management (Ansible)
  • CI/CD tooling (Jenkins)
  • Git for version control and collaboration

Exposure to:
  • Monitoring and alerting tools (Datadog, CloudWatch)
  • Databases and caches (MySQL, Redis)
  • Networking fundamentals (HTTP, TLS, load balancing)
  • Web application and infrastructure security concepts
  • Terraform (early-stage, limited usage)

What We're Looking For
We're looking for engineers who are early in their careers but serious about building strong technical fundamentals - especially around coding, automation, and version-controlled workflows.
Required
  • 0-3 years of experience in a technical role (Ops, DevOps, SRE, Systems, or similar)
  • Comfortable writing real scripts or programs, not just small one-liners
  • Ability to reason about code, debug failures, and improve existing automation
  • Experience working in Linux environments
  • Familiarity with Git-based workflows (branching, pull requests, code reviews)
  • Some exposure to AWS (coursework, labs, internships, or real environments)
  • Strong curiosity and willingness to learn complex systems
  • Clear communication and comfort asking questions
  • A sense of responsibility when working on systems that affect customers

Nice to Have (Not Required)
  • Prior experience with Infrastructure as Code
  • Experience with CI/CD pipelines
  • Coursework or hands-on work with distributed systems, networking, or security
  • Familiarity with Java-based web applications
  • Prior AWS certification

Learning, Certification, and Growth
We actively invest in the growth of our engineers.
  • We will support and fund your pursuit of the AWS Certified Solutions Architect - Associate certification
  • We provide access to AWS training and courses relevant to your role and interests
  • As your career develops, we support continued learning in areas that align with both your interests and the needs of the team

How You'll Be Supported
  • You'll join alongside another junior engineer in the same role
  • You'll be mentored by three experienced senior engineers
  • You'll receive structured onboarding with increasing responsibility
  • You'll get meaningful production experience - not shadow-only work
  • You'll be encouraged to grow technically in directions that interest you

Growth Path
This role is designed to grow into a mid-level AWS Operations / Platform Engineer position. Success in this role means you are increasingly trusted to:
  • Write and own automation that runs production
  • Improve reliability and operational safety through code
  • Take ownership of pieces of the infrastructure
  • Help onboard and mentor future junior engineers
  • Contribute to how Voyant runs production SaaS at scale

Compensation: The Base Salary range for this position is between $75,000-$85,000.
This information reflects a base salary range that AssetMark reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, experience, and actual work location. This position will also be eligible for additional variable incentive compensation and competitive benefits.
Candidates must be legally authorized to work in the US to be considered. We are unable to provide visa sponsorship for this position.
#LI-TN1
Who We Are & What We Offer:
We are AssetMark, a company on the move, shaping the future of financial services. Growth is in our DNA. Every day, we combine technology, insight, and collaboration to create new possibilities for advisors, for our people and for our investors. At AssetMark your ideas matter; they're heard, valued, and drive meaningful change. Join a team that sets new standards and creates space for you to thrive and do your best work.
Our Mission
Our mission is simple: to help our 10,500+ financial advisors make a meaningful difference in their clients' lives. We do this by combining powerful technology, holistic support, and expert consulting to help advisors run stronger, more efficient businesses. Backed by a comprehensive suite of investment solutions and a trust company that boasts of $150B+ AUM, our platform empowers advisors to deliver exceptional service and an outstanding client experience.
Our Values
Heart. Client Success. Integrity. Respect. Excellence. Our values are how we show up every day.
We believe in:
  • Leading with Heart, in truly making a difference in the lives of others: teammates, clients, investors and communities.
  • Obsessing over Client Success, bringing a relentless focus on what matters to clients that sets us apart and creates loyal, lasting relationships.
  • Unyielding Integrity, doing what's right, always. Even when it's hard.
  • Collective Respect, in being authentic, inclusive and valuing all voices while winning together.
  • Operating with Excellence, in learning fast, continuously improving, innovating and collaborating to find new and better solutions.

These values shape our culture, guide our decisions, and define what it means to be part of the AssetMark family.
Our Culture & Benefits
Our culture brings our mission and values to life. Here, we do what's right, embrace diverse ideas, and innovate together. We also offer a wide range of benefits to support you and your family-because thriving at work starts with thriving in life.
  • Flex Time or Paid Time Off and Sick Time Off
  • 401K - 6% Employer Match
  • Medical, Dental, Vision - HDHP or PPO
  • HSA - Employer contribution (HDHP only)
  • Volunteer Time Off
  • Career Development / Recognition
  • Fitness Reimbursement
  • Hybrid Work Schedule

As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.

Apply