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Hire MLOps Engineers

Hire MLOps Developers to Accelerate ML Models Deployment

ML models require ongoing training, optimizations, and refinements. Hire MLOps developers from us who combine the power of Machine Learning (ML) and DevOps (Ops) principles to imagine, design, develop, and add scalable ML models in your business operations.

Core Services Offered by Our MLOps Developers

Our skilled MLOps engineers provide complete services to connect data science and IT operations. We want to make sure your Machine Learning projects provide real value in a connected system.

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Data Engineering & Preparation

MLOps developers prepare and organize business data. They train machine learning models to ensure they work correctly. It is done before the models are used in real applications.

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Model Development & Training

Design custom ML models that align with your specific business needs. We also train models using the most relevant sets of business data using algorithms & techniques.

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ML Model Deployment & Monitoring

Deploy & integrate trained ML models into existing production environments. We help you manage model lifecycle, including version control, monitoring, and retraining.

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Model Retraining and Lifecycle Management

We update our machine learning models with new data regularly. We also manage the entire process of deploying ML models. This ensures that they meet our business needs.

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Infrastructure Setup & Management

Setup cloud or on-premise systems to support ML tasks, efficiently manage resources, and can handle increased demands. We manage it to ensure it meets evolving needs.

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End-to-end ML Pipeline Automation

We automate the entire machine learning process. This includes preparing the data through cleaning and engineering, model training, testing, deployment, and update.

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CI-CD for Machine Learning (ML)

Our experts use CI-CD pipeline to add flawless ML models. This helps to test, validate, and deploy your ML models. These processes occur during updates and improvements.

Quality Code Standards Our MLOps Developers Follow

Our coding practices in MLOps solutions development and deployment consistently meet industry standards. These standards ensure that our AI models are ready for business and meet the highest standards of ML engineering.

Poor coding leads to a severe loss of business data and credibility. In MLOps, where data is the key, our quality coding ensures 100% security and reliability.

we-follow-title-arrowVersion Control

We use Git to track code changes and help our team work together more effectively.

we-follow-title-arrowPipeline Automation

We use tools like Jenkins, Airflow, and Kubeflow. These tools help us automate the machine learning process. They ensure that they update and retrain models efficiently when needed.

we-follow-title-arrowEnvironment Management

The MLOps engineers use tools like virtual environments or containerization (Docker) to isolate dependencies and avoid conflicts.

we-follow-title-arrowModel Tracking

Record model versions, training data, and performance metrics to facilitate ML model refinement and comparison.

we-follow-title-arrowMonitoring and Alerting

Set up a system to watch how well the model works, the quality of the data, and the system's health. Receive alerts for important problems.

we-follow-title-arrowContainerization

Employ technologies like Docker to package applications and their dependencies into portable units.

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Use tools like Kubernetes to manage and scale containerized applications.

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Engagement Models to Hire MLOps Developers

Time & Material

Time & Material

You can adjust the project scope, software needs, and timeline, which allows you to be flexible in an evolving environment. When you anticipate many changes in the short term, this model comes in handy as you only pay for work that is actually done.

  • Best fit for uncertain project scope
  • Close control of the budget
  • Higher flexibility as the project progresses
  • Easy to adapt to changing needs
Dedicated Hiring

Dedicated Hiring

It can be more cost-effective for long-term or complex projects. We hire MLOps engineers who will focus on your projects. This will lead to quicker delivery and less management work for you. You gain control, expertise, and focus.

  • 8 hours/day - 5 days/week
  • Predictable monthly cost
  • Easy to scale up/down resources
  • Deep collaboration, faster development
Create Your Own Team

Create Your Own Team

Handpick and assemble a team of MLOps experts based on their specific skills in certain MLOps tools, cloud platforms, or ML frameworks. Quickly scale up or scale down the team as the project evolves. Creating your team is perfect for continuous innovation.

  • Create a team within 48-72 hours
  • No overheads and no hidden costs
  • Suits large-scale and complex projects
  • Freehand in selecting and onboarding

We're brilliant at facing challenges head-on and turning them into triumphs. It’s in our DNA & we can vouch for that.

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Innovation Partners

We’d love to work in synergy with you, where vision and goals are shared at every step of the way. Being together is the way to push boundaries and transform your vision with groundbreaking solutions.

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We’re Humans

Beyond the code and strategy, we’re people who genuinely value your vision and work tirelessly to bring it to life. We bring empathy and understanding to every interaction for real connections.

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People’s Choice

Our global recognition is built on delivering excellence that speaks for itself. Today, we’re renowned as the top development partner with our “People-First” approach and are loved by our clients.

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Deliver Value for $

Unlike many, we hate to fit our clients into a Pandora's box and build unnecessary things. We maximize ROI by delivering the right and high-quality solutions to build value on every dollar spent.

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Our Process to Hire MLOps Developers

Hit the ground running with our streamlined hiring process that accelerates the selection and onboarding of developers.

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Share Project Requirements

Resource Profile Sharing for Shortlisting

Screening Tests Planning

Schedule & Conduct Interviews of Chosen Candidates

Choose Hiring Model

Service Level Agreement (SLA)/Master Service Agreement (MSA)

Onboarding a Team

Technologies We Use for MLOps Development

Python

Python

TensorFlow

TensorFlow

PyTorch

PyTorch

Keras

Keras

Hadoop

Hadoop

Apache Kafka

Apache Kafka

Docker

Docker

Kubernetes

Kubernetes

CircleCI

CircleCI

MLflow

MLflow

Testimonials: Real People. Real Experiences.

Travis-C

It’s been a pleasure to have worked with Bytes Technolab. I am consistently impressed by their ability to execute tasks as requested. They are quick learners who tackle business challenges with effective software solutions. I really appreciate their timely responses and out-of-the-box recommendations.

Travis-C

Travis C

Head of Marketing, Ragnar
Scott-P

In 2008, my friend and I started developing a podcast hosting platform, but they abandoned the project, leaving it incomplete. I turned to Bytes Technolab for help, and they swiftly completed the platform within the agreed timeframe. Remarkably, they provided support and maintenance for the next decade, making the collaboration a successful and efficient one.

Scott-P

Scott P

President, My Podcast World
Robbin-W

As the owner of a furniture retail business, I sought an IT company to grow my business and found Bytes Technolab through a friend's referral. They quickly understood our needs and provided perfect solutions. Their crisp communication and expertise helped us launch various IT projects, including websites and ERP systems. Overall, our experience with them was great.

Robbin-W

Robbin W

President, Wazo
Jeanette-Eng

As the founder of Social Paws, a dog-sharing app, I sought to develop an MVP for my application. After discovering Bytes Technolab, I was impressed by their thoughtful approach and suggestions. I felt secure throughout the entire process, appreciating their initiative and commitment to envisioning the future of my app.

Jeanette-Eng

Jeanette Eng

Founder, Social Paws
Branden-C

"I've been working closely with Bytes Technolab on technical services for our websites. Their expertise and thorough understanding of code have been invaluable in guiding me through various aspects. Also, their remarkable speed and problem-solving abilities make them highly capable!"

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Branden C

CTO, uTour Inc.
James-Anderson

Have worked with Bytes Technolab and trust me their assistance in migrating to Magento was a fantastic decision. They really are the experts in Magento, especially Bhavesh and Jaimin. Working with them has been a positive experience, and I genuinely enjoy collaborating with them.

James-Anderson

James Anderson

Head of eCommerce Development, ACG
Jenny-B

Today, I own a Magento-based online personalized gift store. We hired Bytes Technolab to help troubleshoot problems and purchase extensions. But as time passed, they provided help in handling Magento updates, and other technical aspects. In short, their services are highly appreciated despite time differences.

Jenny-B

Jenny B

Owner, Celebration Giftware
Dustin-P

I have collaborated with Bytes Technolab for the last 5 years, and throughout this time, their communication has been highly advantageous. Over these years, they have assisted me with a wide range of tasks, both front-end and back-end development. Their commitment to delivering high-quality work within specified timelines is commendable.

Dustin-P

Dustin P

Head of Analytics, LQAM LLC
Jakob

I highly recommend Bytes Technolab because over the years they have helped me in building custom platforms, multi-language websites, etc. The most impressive thing is that, despite time differences, they have always provided me with technical support whenever needed. Overall, they have played an integral role in our business's success.

Jakob

Jakob B

Director, Fitlab Inc.
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Frequently Asked Questions

Why do I need to hire MLOps developers?

MLOps developers ensure that your machine learning models are scalable, reliable, and efficiently integrated into your existing systems. They handle the end-to-end lifecycle of ML models, from data processing and model training to deployment and continuous monitoring. The role of MLOps engineers is specific to the reliability, maintainability, and scalability of data-driven machine learning apps. Hiring MLOps developers is essential to build a reliable model and train it to perfection. You can’t compromise it as it is directly related to delivering AI-driven experiences to even your audiences.

How do MLOps developers help in scaling machine learning models?

MLOps developers design and implement scalable infrastructure that allows machine learning models to handle increasing data volumes and user demands. They optimize resource allocation, manage distributed systems, and use containerization and orchestration tools to ensure that models can scale efficiently. This involves automating deployment pipelines, setting up monitoring systems, and ensuring that models are robust enough to perform well under varying loads.

Can MLOps developers help with both cloud-based and on-premises solutions?

Yes, MLOps developers are experienced in working with cloud-based and on-premises solutions. They can design and implement MLOps pipelines tailored to your preferred environment, whether it's a cloud platform like AWS, GCP, or Azure or an on-premises infrastructure. They ensure that the ML models are seamlessly integrated and optimized for the specific environment, considering factors like data privacy, scalability, and cost-efficiency.

How do I know the number of MLOps experts to hire for my project?

It depends on the complexity and scope of your project. Other factors include the number of machine learning models you plan to deploy, the scale of your data processing needs, the level of automation required, and the infrastructure setup. A consultation with our experts can help you assess your needs and determine the appropriate team size.

What is the cost of hiring MLOps developers?

The cost of hiring MLOps engineers varies depending on the engagement model, the complexity of the project, and the level of expertise required. The Time & Material model charges based on the hours worked, while the Dedicated Hiring and Create Your Own Team models have more fixed pricing structures. To get an accurate estimate, it's best to discuss your specific needs with our team so we can provide a tailored quote.

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