Machine Learning

A Machine Learning Team Lead and Business Analyst guide this phase, collaborating with the client to gain a deep understanding of the business. The key deliverables include:

• Researching existing ML models, datasets, and articles addressing similar problems
• Selecting the appropriate ML model
• Defining the SRS (requirements)
• Providing a budget estimate for the PoC

The output is a clear roadmap that aligns both technical and business goals.

A Machine Learning Team Lead, with support from COXIT’s HR and recruiting team, leads this phase. Key steps include:

• Building a specialized team of 2-3 members with expertise tailored to the project’s needs
• Developing a detailed data annotation and collection plan, including an annotation guide
• Implementing GitOps best practices and establishing a robust SDLC to ensure high-quality, scalable code delivery

A Machine Learning Team Lead guides this phase to ensure alignment with client goals. The main activities include:

• Data collection and automation of a data set formation 
• Training the model on a minimal dataset to validate the approach and prove business value
• Automating model training and validation processes for continuous improvement
• Maintaining clear communication through daily Slack updates, ZenHub boards, and weekly meetings to ensure transparency and progress tracking

A Machine Learning Team Lead directs this phase, focusing on:

• Automating data collection, model training, and performance validation processes
• Setting up the user interface, along with testing and production environments
• Implementing feedback loops and monitoring systems to ensure continuous improvement and scalability