AI implementation engineers will design and implement AI-native solutions to solve business problems identified to be strategic for Aptean's customers.

They will understand the business problem outlined by the customer and the Aptean business analyst, support solutioning process, implement the solution together with the data integration engineer and continuously monitor/update the solution to ensure that value is delivered despite changing environment at the customer.

Principal Duties And Responsibilities :

- Deep proficiency in traditional ML techniques as well as Generative AI.

- Top notch proficiency in Python : Should be able to leverage Python for scripting, data processing, model development, and integration tasks throughout the AI solution lifecycle.

- Go-to-person in Generative AI, including frameworks like RAG, LangGraph & LangChain and related topics.

- Should have prior experience developing RAG pipelines, integrating enterprise data sources and managing vector database domains.

- Should be able to apply advanced NLP techniques (such as classification, entity extraction, summarization) and tailor models to business needs.

- Team worker : Should be able to articulate results of troubleshooting to data integration engineer and business analyst to aid communication to customer as well as extraction of additional data points to rectify the problem.

- Should have built and deployed traditional machine learning models using a variety of algorithms.

- Experience with use cases in supply chain like forecasting, inventory reconciliation etc. will be a strong plus.

- Experience with linear or mixed-integer optimization will be a strong plus.

Job Specifications :

- Education - Bachelor's degree - Engineering preferably Computer Science / master's degree preferred