Management services for Machine Learning Operations

Utilize our knowledge and skills to execute complete life cycle management for machine learning solutions and applications.

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Offered by our machine learning engineers: services.

Development of machine learning models

Employ highly qualified Machine Learning Engineers capable of managing all data-related tasks for constructing, training, and implementing ML models to achieve desired outcomes. Our ML engineers can also support the integration of fully functional ML models into enterprise software, enhancing its performance.

Model Development

Consultation on machine learning

Our group of machine learning consultants can aid in adopting, developing, and integrating models to automate and optimize operations, enhancing your products and services.

Consultation

Development of machine learning algorithms

Employ ML Engineers with outstanding expertise in conducting comprehensive experimentation to identify the optimal ML algorithms, fine-tuning parameters to align with your business requirements, and innovating new algorithms.

Algorithm

Support and maintenance for machine learning.

Count on our readily available Machine Learning developers who offer ML support and maintenance services to ensure your ML environment operates at its optimal best.

Maintenance

Computer Vision

Count on our readily available Machine Learning developers who offer ML support and maintenance services to ensure your ML environment operates at its optimal best.

Vision

Deep Learning

Our team of Deep Learning engineers excels in developing models trained to identify diverse types of data, images, and videos. They are adept at processing spoken languages and resolving complex problems, ensuring enhanced efficiency and accuracy in your applications.

Learning

Statistical Analytics

Engage the services of an ML developer for statistical data analysis or computational data analysis to draw inferences and predictions. Our highly qualified Machine Learning experts excel in data science, statistics, data analytics, data mining, and other data-related skills.

LLM

Our NLP Engineers demonstrate excellence in collecting and preprocessing large-scale text datasets for training LLM models. They are adept at fine-tuning pre-trained LLM models to enhance their performance on specific tasks. Focusing on customization and innovation, our developers craft solutions tailored to meet your unique needs.

LLM

Creating and Optimizing Custom Prompts

Our ML engineers showcase an expert understanding of prompt engineering, covering tasks from designing and implementing custom prompts to optimizing them for accuracy. They excel in developing methods to fine-tune prompts and create tools that automate the prompt engineering process.

Prompt Engineering

What Are the Results of Our Efforts?

Our Milestones

Delivered

5000+

Projects Delivered

Employees

700+

Global Workforce

Companies

1000+

Number of Companies Assessed

Award

20+

Internationally Recognized Awards

Excellence

17+

Decades of Exceptional Service

Employ Machine Learning Engineers to Fulfill Your Business Requirements

Tap into a pool of top-tier artificial intelligence, deep learning, and data analysis professionals ready to spearhead pivotal projects.

Engineer

Machine Learning Engineer

Creating and Implementing ML Models for Organizations.

Data Scientist

Data Scientist

Examining and deciphering intricate data to address business challenges.

Intelligence Engineer

Artificial Intelligence Engineer

Constructing intelligent systems for real-world applications.

AI/ML Product Manager

AI/ML Product Manager

Guiding the development and launch of AI/ML products.

Deep Learning Engineer

Deep Learning Engineer

Crafting and implementing sophisticated neural networks.

Computer Vision Engineer

Computer Vision Engineer

Developing computer vision solutions for image and video data.

Processing Engineer

Natural Language Processing Engineer

Creating NLP systems for processing text data.

Intelligence Analyst

Business Intelligence Analyst

Creating predictive models for forecasting and decision-making as a Business Intelligence Analyst.

Big Data Engineer

Big Data Engineer

Handling, storing, and analyzing extensive datasets as a Big Data Engineer.

Machine Learning Researcher

Machine Learning Researcher

Engaging in cutting-edge machine learning research to push the boundaries of the field.

Statistical Modeler

Statistical Modeler

Creating and employing statistical models for data analysis as a Statistical Modeler.

Predictive Modeler

Predictive Modeler

Creating predictive models for forecasting and decision-making as a Predictive Modeler.

List of Technologies We Use

Our skilled team of machine learning engineers brings years of experience in developing and optimizing high-performance neural networks and engines, catering to various platforms and services

Tensorflow
Pytorch
Scikit Learn
IBM Watson
Aws
Google AI
Microsoft Azure
Python
Keras
Scikit Image
Open CV
YOLO

Our Happy Clients

Lets’ Hear, how we have helped our clients to grow their business

Why Companies Prefer Maven Cluster for Hiring Machine Learning Developers

Experience

15+ Years of Experience

We've crafted specialized AI solutions designed to maximize performance, drawing on over 15 years of experience. Our expertise in diverse scenarios enables us to swiftly identify your challenges and provide insightful solutions tailored to your needs.

Certified

Certified Software Engineers

Our AI professionals employ innovative tactics and craft tailored solutions exclusively for businesses, assisting enterprises in overcoming critical issues that hinder performance.

Clients

1000+ Enterprise-Level Clients

Over the past 15 years, we've cultivated a broad client base filled with satisfied customers, a testament to our commitment to delivering exceptional solutions and ensuring client satisfaction!

Models

20+ Pre-built Models Deployed

Leveraging our experience, we've successfully deployed over 20 pre-built AI models across multiple global projects. This track record reflects our commitment to delivering robust and proven AI solutions.

Comparison of Remote Dedicated Teams with In-house and Freelance Resources
Our resources and teams are trained and experienced in working on real-life projects, showcasing a track record of successful implementations. Additionally, our flexibility allows us to scale seamlessly as your needs evolve over time.
Factors Maven In - House Freelance
Time to start a project 1 day - 2 weeks 2 - 10 weeks 1 - 10 weeks
Time to scale size of the team 48 hours - 1 week 4 - 16 weeks 1 - 12 weeks
Time to get right developers 1 day - 2 weeks 4 - 12 weeks 1 - 12 weeks
Recurring cost of training & benefits 0 $10,000 -$30,000 0
Project failure risk Very Low Low Very High
Pricing (weekly average) 1.5 X 2X 1X
Developers backed by a delivery team Yes Some No
Dedicated resources Yes No Some
Quality guarantee Yes High High
Tools and professional environment Yes High Uncertain
Agile Methodology Yes Some No
Turnover Risk None High High
Structured Training Programs Yes Some No
Communication Seamless Seamless Uncertain
Termination Costs None High None
Assured Availability 40 hrs/week 40 hrs/week 40 hrs/week