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Classic Auto Group Jobs in Texas (NOW HIRING)

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Classic Auto Group information

See Texas salary details

$11

$24

$37

How much do classic auto group jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for classic auto group in Texas is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $27.55 per hour, depending on experience, location, and employer.

What is Classic Auto Group?

Classic Auto Group is a network of car dealerships that sells new and used vehicles from various automotive brands. They offer a range of services including vehicle sales, financing, service, and parts. Classic Auto Group typically represents brands such as Chevrolet, Ford, Honda, and more, depending on the location. Their dealerships are known for providing customer-focused automotive solutions and serving local communities.

What can new employees at Classic Auto Group expect in terms of training and support during their first few months?

New hires at Classic Auto Group typically participate in a structured onboarding process that may include dealership orientation, product training, and mentorship from experienced team members. You’ll receive guidance on company procedures, customer service expectations, and technical skills relevant to your specific role, whether in sales, service, or administration. Managers and colleagues are generally supportive, fostering a collaborative environment where questions are encouraged as you learn the ropes. This approach helps ensure you build confidence and competence quickly, setting you up for long-term success within the organization.

What are the key skills and qualifications needed to thrive as a car sales consultant at Classic Auto Group, and why are they important?

To thrive as a Car Sales Consultant at Classic Auto Group, you need strong sales acumen, knowledge of automotive products, and typically a high school diploma or equivalent. Familiarity with CRM software, dealership management systems, and financing tools is often required. Excellent interpersonal skills, active listening, and the ability to build rapport with clients set top performers apart. These skills are vital for delivering exceptional customer service, meeting sales targets, and fostering long-term client relationships in a competitive automotive retail environment.

What is the difference between Classic Auto Group vs Car Sales Associate?

AspectClassic Auto GroupCar Sales Associate
CredentialsHigh school diploma, valid driver’s license, sales experienceHigh school diploma, valid driver’s license, sales experience
Work EnvironmentDealerships, showrooms, sales floorsDealerships, showrooms, sales floors
Industry UsageUsed across multiple dealerships including Classic Auto GroupCommonly employed as a sales representative in auto dealerships

Both roles typically require similar credentials and work in dealership environments. The main difference is that Classic Auto Group is a dealership brand or employer, while Car Sales Associate is a job title held within such dealerships. The Car Sales Associate role is focused on selling vehicles, whereas Classic Auto Group refers to the company or dealership group itself.

What are popular job titles related to Classic Auto Group jobs in Texas?

For Classic Auto Group jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Classic Auto Group jobs in Texas look for?

The top searched job categories for Classic Auto Group jobs in Texas are:

Classic Auto Group jobs near you
Infographic showing various Classic Auto Group job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $50,633 per year, or $24.3 per hour.

MLOps Platform Engineer (SageMaker)

Judge Group, Inc.

Plano, TX • On-site

$85 - $95/hr

Other

Posted 12 days ago

Job description

Location: Plano, TX Salary: $85.00 USD Hourly - $95.00 USD Hourly Description:
Job Title: MLOps Platform Engineer (SageMaker)
Location: Plano, TX
Contract


Must Haves:
  • 10-15 years of software engineering experience focused on cloud infrastructure or ML platform operations.
  • 5+ years hands-on with AWS, including deep expertise in Amazon SageMaker (Studio Classic Studio, Pipelines, Model Registry, Endpoints, Feature Store)
  • 3+ years building and operating production MLOps pipelines - training, versioning, deployment, monitoring, rollback
  • Experience with SageMaker Unified Studio or Studio Classic - domain/project setup, blueprints, multi-tenant configuration
  • MLflow or equivalent experiment tracking
  • SageMaker Pipelines or similar workflow orchestration (Airflow, Step Functions)
  • Unified Studio is preferred to have but Classic is must have.

What you'll be doing
- Set up SageMaker Unified Studio platform - domain configuration, project provisioning, persona-based roles, and multi-environment (Dev, Prod-UAT, Prod) promotion workflows
- Build MLOps pipelines using SageMaker Pipelines - data extraction from Snowflake, preprocessing, training, evaluation, and model registration
- Manage SageMaker Model Registry - cross-account model promotion, versioning, immutability, and lineage tracking
- Configure MLflow experiment tracking - auto-logging of parameters, metrics, and artifacts
- Set up identity and access management - Okta SSO, SailPoint entitlements, persona-based execution roles, service roles for pipelines
- Build model serving - real-time SageMaker endpoints and batch prediction workflows
- Set up model monitoring - data drift, model drift, performance degradation detection
- Configure data catalog - searchable datasets, access-level visibility, access-request workflows, lineage
- Own platform operations - observability (CloudWatch, Datadog), logging, custom images, instance availability
Requirements:
Qualifications/ What you bring (Must Haves) - Highlight Top 3-5 skills
- 10-15 years of software engineering experience focused on cloud infrastructure or ML platform operations
- 5+ years hands-on with AWS, including deep expertise in Amazon SageMaker (Studio, Pipelines, Model Registry, Endpoints, Feature Store)
- 3+ years building and operating production MLOps pipelines - training, versioning, deployment, monitoring, rollback
- Experience with SageMaker Unified Studio or Studio Classic - domain/project setup, blueprints, multi-tenant configuration
- Infrastructure-as-Code with Terraform, CDK, or CloudFormation
- IAM design for ML platforms - execution roles, service roles, cross-account access, Lake Formation, SSO/SAML
- MLflow or equivalent experiment tracking
- SageMaker Pipelines or similar workflow orchestration (Airflow, Step Functions)
- Model serving - real-time endpoints, batch transform, auto-scaling, endpoint monitoring
- Snowflake as a data source for ML pipelines
- Kubernetes (EKS) and container orchestration
- Networking and security - VPC, security groups, private endpoints, cross-account connectivity
Added bonus if you have (Preferred):
- SageMaker Unified Studio domain provisioning, custom blueprints, project standardization
- SageMaker Feature Store for online/offline feature management
- SageMaker Model Monitor - data quality checks, bias detection, drift detection
- AWS Machine Learning Specialty certification
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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