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Dvc Jobs in Florida (NOW HIRING)

Kforce Technology Staffing

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Experience with data versioning and testing tools, such as DVC (Data Version Control) and dbt (data build tool) * Knowledge of big data technologies, including Hadoop, Spark, Kafka, and HBase, with ...

Accenture Federal Services

Cleared AI/ML Engineer

Tampa, FL · On-site

$108K - $185K/yr

Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC * Hands-on experience developing and deploying machine learning pipelines in AWS, Azure ...

Accenture Federal Services

Cleared AI/ML Engineer

Tampa, FL · On-site

$108K - $185K/yr

Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC * Hands-on experience developing and deploying machine learning pipelines in AWS, Azure ...

All JobsDvc JobsDvc Jobs in Florida

Dvc information

See Florida salary details

$52.7K

$64.5K

$79.6K

How much do dvc jobs pay per year?

As of Sep 7, 2026, the average yearly pay for dvc in Florida is $64,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $67,300.00 per year, depending on experience, location, and employer.

What is a dvc?

DVCs, or Data Version Control specialists, are professionals who manage and oversee data versioning using tools like Data Version Control (DVC). They help teams track changes to datasets and machine learning models, ensuring reproducibility and collaboration in data science projects. DVCs work closely with data scientists and engineers to implement data pipelines, handle large datasets, and maintain consistency across multiple experiments. Their expertise is essential in organizations where managing complex data workflows is critical for research and deployment.

What are the key skills and qualifications needed to thrive as a dvc?

To thrive as a Divisional Vice Chancellor, you need strong leadership abilities, a background in academia or administration, and typically an advanced degree such as a Ph.D. or Ed.D. Familiarity with university management systems, accreditation processes, and data analysis tools is often required. Exceptional communication, strategic vision, and conflict resolution skills help foster academic excellence and organizational growth. These competencies are critical for effective governance, stakeholder engagement, and advancing the institution’s mission.

How does a dvc engineer typically collaborate with data scientists and machine learning engineers on a project?

A DVC Engineer works closely with data scientists and machine learning engineers to streamline data management, versioning, and reproducibility throughout the machine learning workflow. They help set up and maintain DVC pipelines, ensuring data and model versions are tracked across experiments. Regular communication is essential, as DVC Engineers provide support for integrating DVC into existing workflows, troubleshoot issues, and train team members on best practices. This collaborative effort helps teams maintain consistency, improve efficiency, and facilitate smoother handoffs between stages of model development.

What is the difference between Dvc vs Video Editor?

AspectDvcVideo Editor
Required CredentialsHigh school diploma or equivalent; technical training or certification often preferredHigh school diploma; often a degree or certification in film, media, or related field
Work EnvironmentFilm sets, production companies, or broadcast stationsPost-production studios, editing suites, or freelance work
Industry UsageUsed in film, TV, and video production for technical supportUsed in editing and post-production to craft the final video content

While both Dvc and Video Editor work within the video production industry, Dvc primarily handles technical aspects during filming, such as camera operation and equipment setup. In contrast, Video Editors focus on editing footage to create the final product. Understanding these roles helps clarify career paths and job expectations in video production.

What are popular job titles related to Dvc jobs in Florida?

For Dvc jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Dvc jobs in Florida look for?

The top searched job categories for Dvc jobs in Florida are:

Dvc jobs near you
Infographic showing various Dvc job openings in Florida as of August 2026, with employment types broken down into 64% Full Time, 18% Part Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $64,487 per year, or $31 per hour.

Cleared AI/ML Engineer

Accenture Federal Services

Tampa, FL

Full-time

Re-posted 27 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services

Job description

The work: 

  • Develop MLOps frameworks and workflows for a variety of domains and applications 
  • Deploy, maintain, and optimize ML models and data processes in a production environment 
  • Develop custom AI/ML algorithms that translate into mission value 
  • Conduct experiments, evaluate model performance, and fine-tune algorithms to improve accuracy and efficiency
  • Collaborate with cross-functional teams to integrate AI/ML models into products and services

Here's what you need: 

  • Experience with any of the following in practice or educational:
    • Hands-on experience with scripting languages such as Python, JavaScript or Rust 
    • Hands-on experience with developing models at scale from inception to business impact 
    • Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) 
    • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC 
    • Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP 
    • Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches 
    • Experience deploying, maintaining, testing, and optimizing models and data platforms in a production environment/s
    • Experience working with and managing processing of large datasets and computational or analytic jobs or in academic setting
    • Experience monitoring and triaging issues with data processes and tools 
  • US Citizenship (No Dual citizenship)

Bonus points if you have: 

  • Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required 

Security Clearance: 

  • Active TS/SCI or TS/SCI with polygraph Clearance

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