Hire MLOps Engineers

Get experts who can optimize inference infrastructure costs.

MLOps developers for hire

Get an experienced tech lead who can lead your team and set up the best practices for model deployment, monitoring, and growing infrastructure.

MLOps Staff Outsourcing

Hire a dedicated team who can leverage their skills in continuous improvement, automation, and data pipeline management to your advantage.

Get Experts for Model Evaluation

Hire an MLOps expert to audit your infrastructure and recommend further actions based on your machine learning project’s needs and goals.

End-to-end Model Development

From discovery to deployment, we can help you with machine learning model lifecycle management and getting it through every stage of development.

How will you work with a MLOps engineer?

Here’s what you can expect:

We’ll sign an NDA;
We’ll identify your needs and goals;
We’ll agree on a plan of action;
We’ll pick an ML operations expert who fits your needs;
We can work in sprints and report the way you’d like us to;
Any additional task needed? We’re here to help!

Hire our MLOps Devs

What MLOps engineers can do for you?

Detect Data Drift

Data changes over time which causes model to lose accuracy. Our MLOps engineers can take care of model monitoring for you and take action before your model stops being relevant.

Streamline Data Pipeline

Get an optimized machine learning data pipeline for speed, latency, throughput, and more to make your solution commercially viable.

Handle Growing Volumes of Data

Spot opportunities for optimization when your data is growing. Let’s set up the right architecture and testing methods to keep your pipeline healthy.

Set up Model Testing

Let our experts take care of reliable model performance with unit, regression, and integration tests tailored to your MLOps architecture.

Simplify Model Management

Create a centralized model repository to track, version, and manage models efficiently or ask us to design a self-healing system.

Reduce ML Architecture Costs

Cut expenses on machine learning architecture costs. We’ll run tests, and apply model pruning, quantization, and knowledge distillation to reduce size and computational demands of your ML model.

Move Data Between Clouds

Enable smooth infrastructure portability, so if you need to move data between cloud providers we can help you, as we did for Revoize.

Read about Revoize.

Maximize Computing Power

Identify inefficiencies in your infrastructure (AWS, Azure) and learn about actionable ways to lower compute and storage expenses and improve performance.

Read about Kicker Ace.

Monitor Costs

Stay in control of your budget by getting our experts to help you with cost monitoring and providing recommendations to reduce unnecessary spending.

Security

Stay compliant and prevent leaks before they happen. We help you secure your data, pipelines, and infrastructure with encryption, access controls, and proven MLOps security practices.

Hire MLOps experts

Order MLOps Consulting to Know Where to Start

Not sure where to start? Meet with our MLOps consultant and get an action plan. In just two weeks, you can get closer than ever to achieve your goals.

I want MLOps Consulting

Looking for DevOps services for a Machine Learning Projects?

Building an app or software for your machine learning project? We provide DevOps experts who can help you with CI/CD, infrastructure migration and cloud management who can work alongside Machine Learning experts to bring the best value.

Explore our DevOps Services

Wojciech Majewski Senior Business Development Manager

Ready to scale with MLOps engineers?

Let’s talk. Book a meeting to explore how our engineers can help you build scalable, reliable AI systems.

Book a call with Wojciech

Why should you hire DAC.digital’s MLOps experts?

MLOps Best Practices, Baked In

Our engineers bring deep expertise in model versioning, monitoring, CI/CD for ML, reproducibility, and infrastructure-as-code.

Think About Deployment From Day One

Every AI project we touch is designed for real-world use. We make sure that the models that we build are ready to run in production.

Smarter Use of Data

We know how to structure, validate, and manage your data to avoid bottlenecks, ensure compliance with data privacy regulations.

Built to Scale From POC to Production

Whether you’re prototyping or targeting new markets, we help you expand without bottlenecks and choose a stack that fits you.

Experts in Model Compression and Optimization

We reduce model size by up to 90% with minimal performance loss that helps your model achieve faster inference, lower costs, and deployment even on constrained hardware.