AI Solutions Architect

You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining, deployment and integration with the back-end product. Ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation, scientific research, experimentation and optimal design.

As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving.

• Development and implementation of ML models for product brand extraction based on product name, description and other attributes
• Development and implementation of ML-based product matching solutions
• Development of text-based product classification tools
• Analyze big amount of data from online retailers using statistical techniques to identify patterns
• Build ML, statistical and analytical models, forecasting models
• Create ML\ DL solution and infrastructure
• Responsible for statistical analysis and model research to develop an advanced analytical approach to generate the required insights
• Design and implement efficient, fault-tolerant Machine Learning flows for processing high-velocity, heterogeneous data, including optimization of Machine Learning workflows for building automated decision systems that provide future predictions
• Provide statistical analysis of large and complex datasets and ensure accuracy in analysis
• Develop innovative and effective approaches to solve analytics problems

You will fit right in if you have –