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Work Based Learning Program Aws Jobs in Kansas (NOW HIRING)

Canterbury Academy

Enrichment Teacher

Olathe, KS · On-site

$15.12 - $19.66/hr

... Work Environment * Programs take place during the school day, integrating enrichment into the daily classroom experience * Activities may include kitchen-based learning, physical movement, and ...

Canterbury Academy

Enrichment Teacher

Olathe, KS

... Work Environment * Programs take place during the school day, integrating enrichment into the daily classroom experience * Activities may include kitchen-based learning, physical movement, and ...

882-Prairie Ridge

Enrichment Teacher

Olathe, KS

$15.12 - $19.66/hr

... Work Environment * Programs take place during the school day, integrating enrichment into the daily classroom experience * Activities may include kitchen-based learning, physical movement, and ...

Cadence Education

Enrichment Teacher

Olathe, KS

$15.12 - $19.66/hr

... Work Environment * Programs take place during the school day, integrating enrichment into the daily classroom experience * Activities may include kitchen-based learning, physical movement, and ...

pcg

Senior Talent Specialist

Lenexa, KS · Remote

Design and develop effective learning programs using instructional design and adult learning ... Work closely with the Strategic Development team to support a unified learning experience strategy.

Bespoke Labs

Machine Learning Engineer

Wichita, KS · On-site

What You'll Be Working On You will work directly with our research team on RL environment and task ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

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Work Based Learning Program Aws information

What are the key skills and qualifications needed to thrive in a Work-Based Learning Program focused on AWS, and why are they important?

To thrive in a Work-Based Learning Program focused on AWS, you need foundational knowledge of cloud computing concepts, basic programming skills, and familiarity with networking, supported by relevant coursework or entry-level certifications like AWS Cloud Practitioner. Hands-on experience with AWS tools such as EC2, S3, Lambda, and the AWS Management Console is typically required, along with understanding of version control systems like Git. Strong problem-solving abilities, willingness to learn, and effective communication are important soft skills for adapting to real-world technical environments. These skills and qualities are crucial for successfully applying cloud concepts in practical settings and collaborating with teams to solve business challenges.

What is the difference between Work Based Learning Program Aws vs Cloud Support Associate?

AspectWork Based Learning Program AwsCloud Support Associate
CredentialsTypically no formal certifications required; focus on trainingOften requires AWS certifications or related cloud credentials
Work EnvironmentEducational or training setting, often part-time or internshipProfessional cloud support environment, full-time role
Employer & Industry UsageEducational institutions, training providers, AWS programsCloud service providers, IT companies, AWS partners

The Work Based Learning Program Aws is primarily a training or internship opportunity designed to develop skills in AWS cloud services, often without requiring prior certifications. In contrast, a Cloud Support Associate is a full-time professional role that typically requires AWS certifications and involves supporting cloud customers in a real-world environment. While the learning program focuses on education and skill development, the associate role emphasizes practical support and troubleshooting in the industry.

What is a Work Based Learning Program with AWS?

A Work Based Learning Program with AWS is an educational initiative that combines classroom instruction with real-world work experience using Amazon Web Services (AWS) technologies. These programs are designed to help students and professionals gain hands-on cloud computing skills by working on projects, internships, or apprenticeships in partnership with employers. Participants learn about cloud infrastructure, deployment, and AWS services, making them more competitive in the job market. Such programs often include mentorship, industry certifications, and exposure to real business challenges.

How does participating in an AWS Work-Based Learning Program help prepare candidates for a cloud-focused career?

Participating in an AWS Work-Based Learning Program offers hands-on experience with key AWS cloud services, allowing candidates to apply classroom concepts to real-world projects. You'll typically collaborate with mentors and teammates in a structured environment, working on tasks such as cloud migration, automation, and security configuration. This immersion helps build both technical and professional skills, making you more competitive for roles such as cloud support associate or solutions architect. Additionally, exposure to industry best practices and networking opportunities within the program can significantly accelerate your career growth in cloud computing.
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Work Based Learning Program Aws jobs near you
Machine Learning Engineer

Machine Learning Engineer

Keysight Technologies, Inc.

Topeka, KS • On-site

$145K - $266K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

43rd of 144 rated electronics manufacturers

Job description

Overview
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
We are seeking a Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise. This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain. You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact.
Responsibilities
1. Machine Learning Development & Deployment
  • Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification.
  • Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.
  • Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2. Cross-Functional ML Use Cases
  • Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.
  • Develop domain-specific models and continuously improve them using feedback loops and real-world performance data.

3. Model Governance and MLOps
  • Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.
  • Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture
  • Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.
  • Perform feature selection, transformation, and engineering aligned with each domain's business logic.

5. Communication & Stakeholder Collaboration
  • Present technical insights and model results to business and executive stakeholders in a clear, actionable format.
  • Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications
Required:
  • 4-6 years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation.
  • Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
  • Experience deploying models into production using ML pipelines and orchestration frameworks.
  • Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

Preferred:
  • Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.
  • Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).
  • Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).
  • Background in statistics, forecasting, optimization, or recommendation systems.

The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
California Pay range: MIN $145,000.00 - MAX $266,000.00
Colorado pay range: MIN $135,000.00 - MAX $225,000.00
District of Columbia pay range: MIN $135,000.00 - MAX $225,000.00
Hawaii pay range: MIN $135,000.00 - MAX $225,000.00
Illinois pay range: MIN $135,000.00 - MAX $225,000.00
Maryland pay range: MIN $145,000.00 - MAX $243,000.00
Massachusetts pay range: MIN $145,000.00 - MAX $243,000.00
Minnesota pay range: MIN $135,000.00 - MAX $225,000.00
New Jersey City pay range: MIN $126,000.00 - MAX $211,000.00
New York pay range: MIN $160,000.00 - MAX $266,000.00
Vermont pay range: MIN MIN $135,000.00 - MAX $225,000.00
Washington state pay range: MIN $145,000.00 - MAX $243,000.00
Note: For other locations, pay ranges will vary by region.
This role is eligible for Keysight's Variable Pay Bonus Program
US Employees may be eligible for the following benefits:
  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)
  • Restricted Stock Units

Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.***
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

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