MLOps Consulting Services
We provide expert guidance to streamline your machine learning lifecycle, from data preparation and model development to deployment and monitoring. Our MLOps consulting team helps you build robust, scalable, and efficient pipelines, ensuring your models deliver maximum business value.
Supercharge Your AI with Our MLOps Services
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Developing Enterprise Solutions
Our expertise lies in creating strong, adaptable, and protected technology foundations that precisely match your business requirements. By working hand-in-hand with your teams, we develop comprehensive solutions to optimize your machine learning processes and expedite product launch.
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Implementation Guidance
Choose our MLOps services to overcome challenges and optimize your AI initiatives. Our consultants provide strategic advice, best practices, and actionable recommendations to help you build a world-class practice. We assess your current operations, identify gaps, and develop a roadmap for improvement.
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Performance Audit
Ensure the reliability and productivity of your models with our comprehensive MLOps analysis. We evaluate your machine learning pipeline, algorithm performance, and data quality to identify potential risks and opportunities for optimization. Our reports provide actionable insights to enhance your operations.
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Pipeline Engineering
Accelerate your development with our custom-built chains. Efficient and reproducible workflows that we implement automate data ingestion, preprocessing, feature engineering, training, evaluation, and deployment. Moreover, these pipelines are optimized for performance and scalability.
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Model Lifecycle Management
With Master of Code Global, you can seamlessly evolve your models from concept to reality. Our MLOps expertise handles the heavy lifting of infrastructure setup and integration, so you can focus on what matters. We’ll keep your models running smoothly with round-the-clock monitoring and early warning systems.
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LLM Applications
Harness the power of Large Language Models with our machine learning development services. We build innovative applications that leverage the capabilities of LLMs to deliver exceptional user experiences. MOCG experts handle everything from the model’s selection and fine-tuning to application development and deployment.
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Tech Stack Evaluation
Choosing the right MLOps services and technologies is crucial for success. Our team thoroughly considers your specific requirements and recommends the optimal stack for your organization. We pay attention to diverse factors such as scalability, performance, cost-effectiveness, and other capabilities.
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MLOps Stack Integration
We seamlessly incorporate the chosen tools and technologies into your existing infrastructure. Our seasoned specialists handle complex processes, ensuring a smooth transition and maximizing the value your platform brings to the table. You can count on ongoing support and maintenance to keep your stack running optimally.
Reap the MLOps Consulting Benefits
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Speed Up Your Workflow
Time is money in the world of AI. Our MLOps consulting specialists streamline your pipeline, automating mundane tasks and accelerating your time-to-market. Say goodbye to bottlenecks and hello to rapid innovation!
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Full Cycle Development
From data ingestion to model deployment, we’ve got you covered. With the help of our comprehensive machine learning consulting expertise, we support a seamless and efficient lifecycle, maximizing the value of your data.
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Adaptable Toolkit
One size doesn’t fit all when it comes to MLOps services. We offer a versatile toolkit of technologies to match your specific needs and preferences. Whether you’re a startup or an enterprise, we guarantee you our assistance.
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Optimize Spending
Our deployment solutions are designed to optimize resource utilization and reduce operational costs. By streamlining your machine learning processes and preventing costly errors, we help you achieve a lower TCO.
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Improved Teamwork
Break down silos and foster collaboration between data scientists, engineers, and business stakeholders. The AI operations platforms we develop for our clients provide a centralized workspace for efficient teamwork and knowledge sharing.
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Secure AI Operations
Data privacy and regulatory compliance are paramount. Master of Code Global’s professionals ensure workflows incorporate robust security measures to protect your sensitive information and ensure adherence to the sector’s standards.
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Industry Insights
Stay ahead of the curve with our team of seasoned engineering experts. As an MLOps company, we keep a pulse on the latest trends and best practices, ensuring you benefit from cutting-edge technologies and methodologies.
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Client Success
Our track record speaks for itself. Our MLOps vendors have successfully delivered projects for a diverse range of clients across industries. Looking into our portfolio, you will learn how we can help businesses achieve their AI goals.
Machine Learning Use Cases: Transforming Data into Action
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Accelerating Preparation
Data is the lifeblood of algorithm deployment, but when it’s raw, it is often messy and incomplete. Our skilled business consultants help you transform basic figures into high-quality training sets, ensuring your models learn from the right information.
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Scaling for Growth
As your company expands, so should the complexity of your machine learning engineering models. We help scale your systems efficiently, from training on larger datasets to deploying them in production environments.
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Enterprise AI Implementation
Integrating artificial intelligence into your existing infrastructure can be daunting. At Master of Code Global, we possess the necessary expertise to implement MLOps solutions at scale, ensuring seamless integration and optimal performance.
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Lifecycle Management
The models are living entities that require constant care and attention. Our MLOps consulting services help you manage the entire lifecycle of your algorithms, from development and training to deployment and scaling.
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Experiment Tracking
Trying new things is the key to success, but keeping track of different trials can be overwhelming. We implement robust experiment tracking systems to help you analyze results and optimize your models.
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Pipeline Engineering
Building efficient and scalable machine learning workflows is essential for production-grade models. Our experts design and implement pipelines that can handle increasing data volumes and overall complexity.
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Model Operations
Getting your networks into production is just the beginning. We help you deploy and manage models efficiently, ensuring optimal performance, reliability, and seamless integration into the existing systems.
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Proactive Issue Detection
Continuous monitoring is crucial for identifying issues and preventing degradation. Our MLOps tactics include robust examination and alerting systems to keep you informed about your models’ health and take timely measures if needed.
Real-World Solutions: Portfolio Highlights
ShopJedAI
Application
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86%
of correct answers
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2
development streams
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4
advanced technologies
An advanced and innovative AI-driven eCommerce marketing solution specifically tailored for small to medium-sized retail businesses.
Learn More
AI Bot Security Audit
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10%
rise in AOV
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$80,000
saved in breach costs
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20%
rise in positive feedback
Master of Code Global elevated security and user experience for a leading online homeware marketplace’s LLM-based chatbot.
Learn More
Tom Ford
AI Chatbot
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8,000+
users effectively engaged
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2,000+
product clicks on the site
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1
month promo campaign
Master of Code Global helped Tom Ford Beauty engage their audience during the holiday season and generate new leads with an AI chatbot
Learn More
A Showcase of MOCG’s Excellence: Clients’ Reviews
Custom Software Development
$10,000 to $49,999
Nov. 2018 - Feb. 2019
Master of Code Global developed a Facebook chatbot for a travel company and integrated it with the company’s API, LiveChat, Google Maps, and Salesforce. The chatbot is accessible across multiple globa
Quality
5.0Schedule
5.0Cost
5.0Willing to Refer
5.0“The combination of their technical experience combined with their creative, out-of-the-box thinking set them apart.”The chatbot not only drove $500,000 in revenue within the first few months but also achieved 3X better conversion than the website and an 89% user response rate. Master of Code Global proved to be creative and technical experts in the chatbot space. They met deadlines and communicated
Matt Meisner
Hospitality & leisure
Austin, Texas
201-500 Employees
Phone Interview
Verified
- Services Custom Software Development
- $50,000 to $199,999
- Jan. 2017 - Ongoing
Master of Code develops Facebook chatbots to support the company's promotions for in-store services as needed.
Quality
5.0Schedule
5.0Cost
5.0Willing to Refer
5.0“...the chatbot increased online bookings by 50%.”Master of Code not only provides extremely helpful chatbot features but also goes above and beyond to improve the user experience. Their services have had a significantly positive impact on the business, and their team continues to be great to work with overall.
Anonymous
- Consumer Products
- Minneapolis, Minnesota
- 1,001-5,000 Employees
- Phone Interview
- Verified
- Social Media Marketing
- $10,000 to $49,999
- Nov. 2019 - Jan. 2020
Master of Code Global developed a Chatbot to assist holiday shoppers on the client's e-commerce site. Their team generated both the NLP and NLG and set up the hosting account for the bot.
Quality
5.0Schedule
5.0Cost
5.0Willing to Refer
5.0"It was such a pleasure working with them."As a result of Master of Code Global's work, the client was able to generate online sales and boost engagement. Their attention to detail, proactivity, and reactivity is impressive. They were consistently available and supportive.
Axelle Basso Bondini
- Beauty & Cosmetics
- New York City, New York
- 5,001-10,000 Employees
- Online Review
- Verified
Key Steps to Building a Robust MLOps Pipeline
Transform your machine learning projects from experimental to operational. Our proven MLOps pipeline flow streamlines model deployment, monitoring, and continuous improvement, ensuring your AI initiatives deliver lasting value.
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Step 1
Defining Clear Goals and Objectives
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Step 2
Selecting the Right Tools and Technologies
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Step 3
Designing and Developing ML Pipelines
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Step 4
Integrating with Existing Infrastructure
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Step 5
Implementing Robust Monitoring and Alerting
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Step 6
Establishing a Strong Culture
