Discover how Space-O Technologies fine-tuned Stable Diffusion XL using LoRA and DreamBooth to create personalized AI image generation.
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Looking to hire top-tier ML developers? Our certified machine learning engineers deliver cutting-edge AI solutions that transform raw data into actionable business insights. From predictive analytics and deep learning models to natural language processing and computer vision applications, we build scalable ML systems that drive measurable results.
Whether you need to develop intelligent recommendation engines, automate complex processes, implement fraud detection systems, or create AI-powered applications, our machine learning consulting services with an expert team have the technical depth and industry experience to deliver. We have delivered over 150 successful AI and ML projects for healthcare, fintech, e-commerce, manufacturing, and logistics clients.
Hire Machine Learning Developers
Our Valuable Clients
Our machine learning engineers design and build tailored algorithms that solve your specific business challenges with precision and scalability. From predictive modeling to deep learning architectures, we create custom solutions that deliver measurable results and competitive advantages.
Our ML engineers architect proprietary algorithms using TensorFlow, PyTorch, and Scikit-learn to solve complex business challenges. We specialize in developing scalable solutions for predictive analytics, recommendation systems, and automated decision-making that deliver measurable ROI.
When building or training an ML model, the quality of the training data is often neglected, which leads to inefficient model performance and unreliable predictions. To negate this our developers specialize in comprehensive data pre-processing pipelines to ensure that your ML model functions without overfitting results or compromising on data uniformity and accuracy.
All language-based ML solutions are powered by advanced Natural Language Processing (NLP) models that enable machines to understand, interpret, and generate human language with remarkable accuracy. Our ML developers leverage cutting-edge NLP technologies including transformer architectures, large language models, and deep learning frameworks to deliver enterprise-grade solutions that transform how businesses interact with text data and customers.
Image recognition models are used for applications such as image processing or anomaly detection, however, finding a pre-trained model for proprietary use is almost impossible; this is where our developers come in to build custom image recognition models ideal for your use case.
Most ML models require progressive fine-tuning to deliver consistent performance. Space-O developers offer model fine-tuning services for both existing and new ML models. We guarantee that post fine-tuning, the model will perform better than before at all few-shot learning tests.
Hire our deep learning expert developers, with comprehensive knowledge of deep learning algorithms, we offer many solutions such as LLM-powered text deciphering models and image recognition models. Proficient in RNN, CNN, and GANs, our developers can build custom ML models using hybrid neural networks to perform both classification and generative tasks.
Awards and Recognitions
Community protection-focused surveillance systems that use image recognition models to detect unauthorized activities can be vital to the safety of any neighborhood. Such models are fine-tuned to work with proprietary CCTV infrastructure to allow for easy integration and accessibility for both residents and law enforcement.
To automate customer support and knowledge-base operations, our developers have built several conversational ML models that resolve user queries autonomously. Whether through simple decision-tree style interactions or fully-fledged NLP solutions, these models reduce the cost of support operations to a fraction of the price.
Making sure that consignments arrive on time without encountering any obstacles is essential in the field of logistics. To facilitate this, our ML engineers have built custom ML solutions throughout the supply chain such as route optimization and instant invoicing systems. These ML-powered solutions automate previously manual tasks to shorten delivery times and ensure consistency.
Discover how Space-O Technologies fine-tuned Stable Diffusion XL using LoRA and DreamBooth to create personalized AI image generation.
Discover how we developed an AI-powered barbell tracking app that revolutionizes velocity-based training with zero additional hardware requirements.
AI product comparison tool developed by Space-O technologies (AI) using ReactJS, Laravel, and OpenAI tools to reduce comparison shopping time.
| Space-O | Freelance Developers |
|---|---|
| Developers available 24×7 | Availability is subject to the freelancer’s schedule |
| Legally enforceable NDA-backed contracts | Enforceability of contracts subject to freelancer’s jurisdiction |
| Readily available developers who hold experience with the majority of ML frameworks and libraries | Multiple freelancers are required to fulfill specialized model development requirements |
| Complete support through product life-cycle for AI/ML solutions | Limited integration and post-deployment support |
| Dedicated resources for additional frontend/backend development, deployment, and talent management | Additional candidates and interviews are required to fulfill any extra development services |
Rest assured that Space-O developers working on your project will keep all details secure and confidential under a strict NDA. This allows us to stay in compliance with global data protection norms and offer top-notch security assurance to all our clients.
To ensure a fast time to market, Space-O’s developers follow a development methodology that is based on Agile principles. This gives you frequent insights into the SDLC and ensures rapid development speeds with high quality standards.
Hiring developers from Space-O allows you to skip the tedious interviewing process as our developers are pre-vetted on all technical skills. For specialized ML projects, we have multiple developers with specializations in niche frameworks and libraries.
Given Space-O’s 14+ years of legacy building custom solutions, our developers have been exposed to a diverse range of projects which allows them to offer unique solutions based on their experience and expertise.
When hiring developers from Space-O, you can get your dream ML development team at your preferred availability mode. Be it part-time, full-time, or on a fixed-cost basis, our developers are ready to start working on your project on your terms.
Be it day or night, our developers and support teams are just a single call away from assisting you with your ML project, giving you the peace of mind to entrust your custom ML model with the capable developers at Space-O.
We recognize that ML models require constant re-training and refinement after deployment to ensure accuracy and efficiency. This is why our developers stay with your project and train it on new additional data to maintain its performance.
Our developers will help you gain insights into how ML solutions will fit into your workflows and improve operations even before the development cycle. This will give you a clear picture, helping you decide if an ML solution would be ideal for you.
Whether you need to implement AI solutions, build predictive models, or enhance your data capabilities, we offer flexible hiring models that align with your business goals, timelines, and preferred level of control.
Get a full-time team exclusively focused on your ML project. This model ensures seamless delivery, long-term collaboration, and faster innovation.
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Scale your team by adding our experienced ML engineers to accelerate development and close skill gaps without recruitment overhead.
Hire our ML experts for specific models, features, or proof-of-concept work. With a fixed scope and clear milestones, you get focused results fast.
To better understand the prolific experience of our developers, check out the tech stack that our developers use to bring your ideas to life.
Backend
Machine Learning Libraries
Monitoring and Analytics
This team was nice to work with and I felt like I got a great app for the price, which was very reasonable. They always got back to me right away and did the work quickly. I slowed the process down a couple of times by taking too long to make decisions, but they were always right on time and I was surprised how quickly they finished it!
Ryan Adams
We can match you with qualified ML developers within 48-72 hours. Our streamlined process includes requirement analysis, developer matching, and technical interviews. For urgent projects, we offer same-day consultations to discuss your needs and begin the matching process immediately.
ML developer rates vary based on experience level and project complexity. Our hourly rates range from $50-150 per hour depending on seniority and specialization. We offer flexible pricing models including hourly, part-time, and project-based engagements. Contact us for a customized quote based on your specific requirements.
Yes, we offer flexible engagement models including fully remote, on-site, and hybrid arrangements. Our remote ML developers are experienced in collaborative tools and agile methodologies, ensuring seamless integration with your existing team regardless of location. We maintain overlapping work hours for effective communication.
Absolutely. We can assemble dedicated ML teams including senior engineers, data scientists, ML engineers, and DevOps specialists. Our team scaling approach ensures proper skill mix for complex projects like building ML platforms, implementing enterprise AI solutions, or developing multiple ML models simultaneously.
Our comprehensive ML services include: algorithm development, data preprocessing, feature engineering, model training and optimization, performance evaluation, deployment and integration, MLOps setup, and ongoing maintenance. We handle the entire ML lifecycle from data to production deployment.
Discover how you can get started with AI software development. Join us as we outline and explore all the steps to create a functioning AI solution.
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Angular
React.js
Vue.js
Django
Flask
Express.js
TensorFlow
PyTorch
Keras
LangChain
Prometheus
Grafana
ELK Stack
MongoDB
Cassandra
Redis
