Senior AI Implementation Engineer
Aptean (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement AI-native solutions addressing strategic business problems for customers, ensuring measurable value delivery.
- Develop and deploy traditional ML models and Generative AI solutions including RAG pipelines, integrating enterprise data sources and managing vector databases.
- Collaborate closely with data integration engineers and business analysts to troubleshoot, communicate results, and tailor AI models to business needs.
Minimum Requirements
- 4-6 years of relevant work experience in AI/ML implementation.
- Proficiency in Python scripting, data processing, model development, and integration in AI solution lifecycle.
- Experience with traditional ML techniques and Generative AI frameworks such as RAG, LangGraph, and LangChain.
- Bachelor’s degree in Engineering (preferably Computer Science); Master’s degree preferred.
Ideal Candidate Profile
- Experienced in building ML solutions for supply chain use cases like forecasting and inventory reconciliation.
- Able to operate effectively within a collaborative team environment involving cross-functional technical and business roles.
- Strong expertise in advanced NLP applications and managing enterprise data integration within AI projects.