Outsource Machine Learning Development

Enhance innovation and efficiency with our expert outsource machine learning services. Leverage cutting-edge technology and our specialized talent for impactful solutions that drive your business forward.

33+

Projects Deployed

95%

Customer Satisfaction

22+

Machine Learning Developers

Trusted by companies around the world

Outsourcing Machine Learning Development Services

Advance your Machine Learning projects with reliable outsourcing Machine Learning development services—access skilled Machine Learning developers to deliver efficient and customized solutions for your business needs.

ML Model Development

ML model development services lifecycle includes data preprocessing, feature engineering, model selection, architecture design, training and fine-tuning, validation and testing, deployment, and ongoing monitoring and maintenance, tailored to specific business needs for accurate, efficient, and scalable solutions.

Data Preprocessing & Feature Engineering

Our data preprocessing & feature engineering services include data cleaning, transformation, and normalization. Our ML developers handle missing values and outliers and ensure data quality. Feature Engineering involves selecting, creating, and optimizing features for improved model performance, using techniques like dimensionality reduction and feature extraction. These services enhance data suitability and quality, enabling robust ML model training.

Natural Language Processing

Our NLP services include sentiment analysis, language generation, chatbot development, entity recognition, translation, and text classification. Our expertise involves building robust NLP models, fine-tuning pre-trained models, data preprocessing, and deploying solutions in domains such as customer support, content analysis, and information extraction.

Time Series Analysis & Forecasting

We have data preprocessing, model selection, and deployment expertise. Our services include trend identification, seasonality analysis, anomaly detection, and building predictive models using techniques like ARIMA, LSTM, or Prophet. They deliver actionable insights and accurate industry forecasts, enabling data-driven decision-making.

ML Consultation & Strategy

We offer comprehensive ML consultation and strategy services, including problem definition, data collection, model selection, and deployment planning. We guide businesses in identifying suitable ML solutions, designing data pipelines, and developing implementation roadmaps. These services ensure efficient and effective integration of machine learning into business processes, optimizing outcomes and value generation.

ML Model Fine Tuning

We optimize pre-trained models for specific tasks. We adjust hyperparameters, refine architecture, and curate datasets to enhance performance. Iterative training, validation, and ensuring optimal results. This process tailors models to achieve higher accuracy and efficiency, aligning them closely with real-world Requirements for better predictions and insights.

Why Outsource Machine Learning Development to Thinkitive?

As a leading outsource Machine Learning development company, we have a strong track record of 9+ years in delivering high-quality, scalable, and efficient solutions. Our Machine Learning developers have expertise in Machine Learning programming, and proficiency in relevant frameworks (e.g., Spring, Hibernate) They have a solid knowledge of modern software development practices: communication, timely delivery, and cost-effectiveness. We have a team of skilled Machine Learning developers with experience in diverse industry verticals.

22+

Machine Learning Developers

33+

Projects Delivered

20%

Cost Reduction

1.5x

Faster Delivery

Work At Your Timezone

Free Development Manager

Easy Communication

Technology & Tools

We use cutting-edge tools powering our Machine Learning development outsourcing services for efficient and reliable solutions.

Machine Learning Platforms and Services

Machine Learning Frameworks and Libraries

FRAMEWORKS

LIBRARIES

Programming Languages

Big Data

Data Visualization

Machine Learning Outsourcing Process

Step 1 : Requirement Gathering

We identify and understand project goals, scope, and specifications. We gather detailed client information on desired features, functionality, and technical/business needs. Clear communication and documentation ensure a successful Machine Learning solution delivery.

Step 2 : Proposal Submission

Our comprehensive plan details the project scope, objectives, timeline, budget, and team structure, including requirements, technology, and development methods. We emphasize expertise and experience, enabling the client to evaluate proposals and choose the ideal vendor for Machine Learning development outsourcing.

Step 3 :Project Initiation

We do project scoping, resource allocation, and timeline planning. We also collaborate with clients to understand their objectives, define project scope, and identify the necessary resources and technologies.

Step 4 :Development & QA

We design, code, and test the Machine Learning application. Development teams collaborate with clients to ensure the desired features are implemented accurately. The QA phase involves rigorous testing, including unit testing, integration testing, and user acceptance testing, to identify and fix defects before the final product is delivered.

Step 5 :Deployment

We make the final release and implement the developed software. It includes preparing the application for production, configuring servers, and deploying the codebase. Testing and monitoring systems are set up to ensure smooth operation.

Step 6 :Maintenance

In the maintenance phase, we conduct post-development tasks such as bug fixes, updates, and support to ensure seamless software performance. We monitor, troubleshoot, and optimize performance to sustain reliability and efficiency while adapting to changing requirements.

What our client says about our ML Developers

Medical Coding Automation using NLP on Clinical Data

HealthCare Chatbot system using artificial intelligence

Automatic Speech Recognition and creating SOAP Notes

Automating Invoice Processing with OCR and Deep Learning

Choose your Model for Machine Learning Outsourcing

Staff Augmentation with Java Developers image

Staff Augmentation with Machine Learning Developers

We offer additional Machine Learning developers for hiring to work alongside the client's in-house team. It enhances capacity, fills skill gaps, and provides flexibility while allowing the client to control the project and its resources.

Request Staff Augmentation

Dedicated team for a part of the Java Project image

Dedicated team for a part of the Machine Learning Project

Our dedicated team of skilled Machine Learning professionals focuses solely on your project's specific parts, acting as an extension of your team. It ensures expertise, continuity, efficient collaboration, and timely delivery.

Request a Dedicated Team

Complete outsourcing of Machine Learning Development

We delegate the entire development lifecycle to an external service provider. It includes requirements gathering, design, coding, testing, deployment, and maintenance. We handle all aspects, enabling clients to focus on their core business activities.

Request Full Outsourcing

Engagement Model Analysis

Cost of team setup and training

Your Machine Learning Vision, Our Expertise

Don't settle for less: Supercharge your software with top-tier Machine Learning Development to scale your business and boost efficiency.

Benefits of Outsourcing Machine Learning Development

9+ years of excellent track-record

We have 9+ years of exceptional track record in delivering successful projects exceeding client expectations. Our experience extends across diverse projects, possibly encompassing various industries or sectors.

22+ Pre-vetted ML Developers

Our Machine Learning developers comprehensively understand software development principles and technologies and offer customized solutions to meet industry-specific requirements with expertise.

End-to-End Development

We create and deliver a software product, encompassing all stages from initial concept and design to coding, testing, deployment, and maintenance, ensuring a seamless workflow and offering a complete solution from start to finish.

Budget-Friendly Development Team

Our team of experienced professionals is committed to providing cost-effective development services tailored to your needs. We specialize in delivering high-quality solutions without compromising quality or efficiency.

Time-Zone Flexibility & Availability

We understand that your project requires round-the-clock attention, and that's precisely what we offer. We seamlessly adapt to the client's preferred schedule, enabling effective communication, uninterrupted progress, and timely deliveries.

Effective Communication & Collaboration

Our team has the skills and tools to ensure seamless coordination throughout every project phase. By fostering clear lines of communication and encouraging active collaboration, we maximize efficiency and deliver outstanding results.

Frequently Asked Questions

Find answers to commonly asked questions about hiring a Machine Learning developer.

Still have Questions ?

1. Why should you outsource your machine learning projects?

Outsourcing machine learning projects can offer specialized expertise, cost efficiency, and quicker project completion. It allows businesses to focus on core competencies while leveraging external skills, accelerating innovation, and improving scalability.

2. What types of machine learning projects can be outsourced?

Various machine learning projects can be outsourced, such as data labeling, model training, image and speech recognition, natural language processing, recommendation systems, fraud detection, and sentiment analysis. These tasks leverage external expertise and resources for efficient and effective project completion.

3. What's the cost structure for outsourcing machine learning projects?

Outsourcing machine learning projects' cost structure depends on project complexity, data size, expertise required, and provider location. It typically includes hourly rates, fixed fees, or pay-per-performance models, with costs varying based on tasks and collaboration terms.

4. What's the timeline for completing an outsourced machine learning project?

The timeline for completing an outsourced machine learning project varies based on complexity, data availability, and scope. Typically, it ranges from a few weeks for more straightforward tasks to several months for intricate projects, including data collection, model development, testing, and deployment.

5. Can the outsourced team work with our in-house team?

Yes, outsourced and in-house teams can collaborate effectively, fostering innovation and efficiency. Clear communication, shared goals, and defined processes are crucial for seamless integration, enabling the combined teams to achieve mutual success.