The current job market for these unique positions is dire, and delays in hiring can translate directly to delays in your projects. In-house skill gaps in AI technologies can be a formidable obstacle in your organization’s technical evolution, often blocking organizations from testing the applications of AI or taking their experimental initiatives to production, resulting in failure, mismanagement, under-governance, and eventual abandonment of your AI solutions. Take advantage of experienced experts – our data scientists, ML engineers, and AI solution and operations architects – to augment your team to deliver on your AI projects, pair-program with and train your staff, and build your advanced capabilities. 

We have one of the largest pools of certified on-the-job experts who bring hands-on experience delivering advanced information and data science, machine learning, LLM, ontology, graph, and AI solutions. We will partner with your organization to provide advisory and consulting services, augmenting your teams’ expertise to support with the following activities: 

• Full lifecycle support, from use case definition and model development to AI program oversight.
• Data preparation using standard data modeling and AI approaches, such as the CRISP-DM process model.
• Transition of experimental models into production.
• Implementation of automatic drift modeling to prevent stale models.
• Development of AIOps and MLOps – cloud as well as on-prem infrastructures. 
• Modular component development with scalability and extensibility in mind. 
• Program facilitation & executive presentations.
• Facilitation of knowledge transfer sessions with your in-house AI/ML engineers.

By the end of the Expertise Augmentation for Full Lifecycle AI/ML Operations engagement, your organization will have:

• Full support from experts and certified professionals with proven experience devoted to expanding your AI capabilities.
• Direct access to a library of technical components, including tested models, frameworks, architecture, and scripts to catapult your AI/ML model journey. 
• Program management, oversight, and quality control support that guarantees an Agile approach to successful delivery, consistent alignment with business goals, and sustainability throughout the model lifecycle.
• Comprehensive pair-programming and role-based training to develop your teams’ expertise.