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Work Based Learning Program Aws Jobs in Buffalo, NY

Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience ... Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices ...

Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience ... Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices ...

Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience ... Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices ...

Employee Stock Purchase Program with additional opportunities to earn stock in the Company ... Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices ...

Employee Stock Purchase Program with additional opportunities to earn stock in the Company ... Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices ...

Summer Camp Counselor

Clarence, NY · On-site

$16 - $18.50/hr

... service and/or previous work experiences Job Expectations: In addition to the following ... Program Expectations: * Create a welcoming learning space for the children * Implement the ...

... service and/or previous work experiences Job Expectations: In addition to the following ... Program Expectations: * Create a welcoming learning space for the children * Implement the ...

... service and/or previous work experiences Job Expectations: In addition to the following ... Program Expectations: * Create a welcoming learning space for the children * Implement the ...

Showing results 41-60

Work Based Learning Program Aws information

See Buffalo, NY salary details

$45.5K

$78.8K

$177.8K

How much do work based learning program aws jobs pay per year?

As of Aug 15, 2026, the average yearly pay for work based learning program aws in Buffalo, NY is $78,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $86,200.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Work Based Learning Program Aws jobs in Buffalo, NY?

For Work Based Learning Program Aws jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Work Based Learning Program Aws jobs in Buffalo, NY look for?

The top searched job categories for Work Based Learning Program Aws jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Work Based Learning Program Aws jobs?

Cities near Buffalo, NY with the most Work Based Learning Program Aws job openings:

Infographic showing various Work Based Learning Program Aws job openings in Buffalo, NY as of June 2026, with employment types broken down into 2% As Needed, 61% Full Time, 29% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $78,818 per year, or $37.9 per hour.

Machine Learning Engineer III, Data

acv

Buffalo, NY

$110K - $133K/yr

Full-time

Re-posted 14 days ago


Job description

What you will do:

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale.

This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that.

The core responsibilities of this role are:

  • Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
  • Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance.
  • Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions.
  • Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments.
  • Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference.
  • Perform additional duties as assigned.

Required Qualifications:

  • Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience.
  • 3+ years of prior computer vision experience
  • Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
  • Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets.
  • Experience optimizing high-latency models for real-time inference
  • Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle.
  • Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving.

Preferred Qualifications:

  • Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on
  • Experience designing evaluation frameworks for complex visual data

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