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The ML developers at Space-O are special as they have the resources and skills to build custom ML models to perform tasks that are unique to your operations. This gives your ML solution more freedom and refinement to perform better at generative and predictive applications.
When building or training an ML model, the quality of the training data is often neglected, which leads to inefficient model performance. To negate this our developers specialize in data pre-processing to ensure that your ML model functions without overfitting results or compromising on uniformity.
All language-based ML solutions are based on Natural Language Processing (NLP) models to function. Having worked with multiple NLP models, our ML developers can use their linguistic processing expertise to deliver solutions including custom chatbots and machine translation.
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.
With our developers’ comprehensive knowledge of deep learning algorithms, we offer many solutions such as text deciphering 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.
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.
Dedicated machine learning developers can give your project the undivided attention that it deserves without any conflicting interests or deliverables.
In its truest meaning, team augmentation is only possible when the additional hires are able to synchronize with your team to act as a unified force for developing solutions that adhere to your standards.
In response to unexpected downtimes or model discrepancies, dedicated ML developers can slide into action and resolve underlying issues without any latency in communication.
A dedicated ML developer on your side allows for brainstorming sessions where you can rapidly prototype your ML solution and see how it performs against benchmarks to find the optimal model configurations.
| 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.
Get a fixed contract value for your artificial intelligence software development project with the fixed cost model. Our ML engineers offer start-to-end support throughout your project’s lifecycle for successful development.
Only pay for the resources you use for your ML development project with the time and material model. Developing ML solutions with this model helps you get a rough estimate to raise optimal funds.
Build your own team of ML developers and machine learning experts with the dedicated ML software development model. Hire pre-vetted ML engineers from Space-O through our sleek hiring process.
Augment your existing team and fill skill gaps with Space-O. We have a team of onboarding-ready developers with on-site and off-site working flexibility for easy staff augmentation.
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
Healthcare
Education
eCommerce
Travel & Tourism
Fleet and Transportation
Manufacturing
Banking
Entertainment
Agriculture
The average cost of hiring a machine learning developer ranges between $70-$250 per hour. This is because machine learning developers usually boast industry specializations where they can ideate and develop ML solutions for any given niche. Your cost of hiring an ML developer will mainly rely on your geography and experience requirements.
Space-O developers can build a variety of solutions from classification models for detecting buyer personas and shopping trends from sales reports to generative models that can hold coherent conversations with your users to resolve their queries. Based on data from the above-stated models, you could also build a regression model that evaluates the data to predict future trends and probabilities.
Once our representative understands your basic requirements through the exploratory call, we will assemble a comprehensive assortment of suitable developers and resources. The assembly is carried out with cost optimization and resource utilization in mind to give you the best talent within your budget.
To guarantee the confidentiality and security of your project details, the developers at Space-O are mandated to sign a strict NDA. Apart from this, we maintain constant communication and transparency with our clients through regular conversations on encrypted channels.
Yes, we offer multiple engagement models to hire machine learning developers, including part-time and fixed-cost hiring models if you have a project that needs continual development. You can also change your preferred engagement model within reason to fit changing project and stakeholder demands.
Typically, it takes around 2-3 days for the developers from Space-O to get acquainted with your processes, projects, and teams. Once they have gained a working understanding of your SOPs and expectations, the orientation is deemed complete and they will start working on your custom ML solution.
Angular
React.js
Vue.js
Django
Flask
Express.js
TensorFlow
Pytorch
Keras
LangChain
Prometheus
Grafana
ELK Stack
MongoDB
Cassandra
Redis