ML Model Engineering Services

We are aware of modern security risks like OWASP10 and implement robust encryption mechanisms, limit responsibilities based on roles, and use secure protocols to transfer the information. Our team is well trained in security to protect your data throughout the ML development process, ensuring its confidentiality and integrity.

Everything starts from understanding your business objectives where we identify requirements. After - we are exploring the data and preprocessing it. During the development cycle we typically select models, train them and deploy. Agile practices are widely used in our organization - this allows to stay flexible and address urgencies as development goes.

The development time for an ML model varies depending on its complexity, the volume of data, and the desired level of accuracy. Simpler project can be completed within, approximately 4-6 weeks, while more complex models may require at least several months of development and fine-tuning.

The end budget for ML-based project depends on the scope, the complexity, and the required amount of resources. It can be for something simpler in range 20,000$-50,000$ while for bigger ones - reach millions. We typically offer retainer model to give certain flexibility - it’s like “pay-as-you-go” + resource allocation commitment not less than N hours we negotiate.

Yes, we can optimize your existing ML models by making proper feature extraction, reducing amount of dimensions, incorporating new data, or applying other techniques. Our goal is to enhance the models’ accuracy and performance to better meet your business objectives.

We monitor ML models using performance metrics and analytics. Our team offers regular maintenance, updates, and retraining to ensure the models remain effective and efficient as your data and business needs evolve.