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mlops
Data & AI

MLOps services

Get seamless model integration, flawless performance and maximum ROI with ELEKS' end-to-end MLOps services

What you get with ELEKS’ MLOps
services

Shorter model development lifecycles
ELEKS’ MLOps services accelerate machine learning development and model integration by implementing CI/CD pipelines, reducing technical debt and enabling rapid experimentation. Furthermore, by applying automation, we’ll help you reduce the burden of manual intervention and enable faster iterations. So, your team gains agility and flexibility when it comes to machine learning model testing and deployment, significantly reducing your ML system’s development lifecycle.
Improved scalability and ML model performance
Utilising MLOps, continuous integration and deployment practices, we’ll establish the consistently high performance of your ML solution through automated model validation, monitoring, retraining and re-evaluation. Our MLOps engineers will also optimise your infrastructure and set up your workflows to proactively identify and resolve any bottlenecks. So your ML model will perform better and scale seamlessly, even when demand surges or workloads become complex.
Increased ROI of your machine learning projects
With ELEKS’ MLOps services, you can maximise the business impact of your machine learning initiatives and be confident that any ML project investments translate into increased business value and profit. By optimising your resources, automating model management processes and machine learning workflows, improving ML model accuracy and reducing your solution’s time-to-market we’ll help you get the biggest possible return on your investment.

Ready to harness ML technologies for unparalleled efficiency?

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How we deliver MLOps services

Infrastructure analysis and preparation

To kick off, our MLOps experts collaborate closely with your team to holistically analyse your existing infrastructure. We deep-dive into your business requirements and define the specific problems you aim to address with a machine learning model. This approach allows us to build a best-fit roadmap with clear timelines, objectives and KPIs, ensuring your model integrates seamlessly, scales effectively and delivers the desired business value. And, should you need custom ML model development, our data science team will be on hand to support you.

ML solution architecture design

Our specialist DevOps team will design a robust ML solution architecture that optimises model performance, scalability and maintainability. If you need a custom model, our data scientists and machine learning engineers will perform data preprocessing, cleaning and feature engineering. Then, we’ll develop and train the ML model to handle predictive decision-making in the latter stages of the project.

Deploying machine learning models in production

Post-architecture, our MLOps specialists will deploy ML models into the production environment, ensuring the models and your software systems interoperate flawlessly. And we’ll oversee the entire deployment process, guaranteeing that there’s no disruption to your operations. Ultimately, we want you to leverage the potential of machine learning to gain maximum efficiency and scalability.

Model monitoring, optimisation and maintenance

Beyond deployment, our MLOps team will provide continuous ML lifecycle management, including model monitoring and optimisation. We’ll track model performance metrics and anomalies and trigger alerts if we find any deviations. Additionally, we can offer continual enhancement of your ML models based on new data, changing trends or evolving business needs. The scope of work may include retraining models and updating them to maintain accuracy and performance over time.

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Why choose ELEKS
as your MLOps partner?

expertise
Robust DevOps and data
science expertise
With a solid team of DevOps experts, software engineers and data scientists, you can be confident your machine learning project is in safe hands. Decades of experience in developing sophisticated machine learning models and seamlessly integrating customers’ existing ML models into large-scale production environments have made us the partner of choice for some of the world’s biggest businesses, delivering complex ML projects and MLOps services to an industry-leading standard.
architecture
End-to-end MLOps
services
We provide expert end-to-end support and guidance throughout the machine learning lifecycle. If you need a custom ML solution, our data science team will handle data preparation, development and model training, plus any further implementation and support. And where your existing machine learning models are concerned, we offer expert MLOp services including infrastructure setup, model integration, continuous monitoring and maintenance. We’ll support you at every stage of your ML project, guaranteeing that it aligns with your technological requirements and business goals.

Awards

IAOP
AI/ML Team of the Year
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The breadth of knowledge and understanding that ELEKS has within its walls allows us to leverage that expertise to make superior deliverables for our customers. When you work with ELEKS, you are working with the top 1% of the aptitude and engineering excellence of the whole country.

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Sam Fleming
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Right from the start, we really liked ELEKS’ commitment and engagement. They came to us with their best people to try to understand our context, our business idea, and developed the first prototype with us. They were very professional and very customer oriented. I think, without ELEKS it probably would not have been possible to have such a successful product in such a short period of time.

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