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Mid-level Bengaluru role with popular ML title but niche GenAI requirements yields moderate competition.
Advanced ML and GenAI skillset is transferable across industries but demands domain integration experience.
Explicit 4–6 year requirement plus mandatory GenAI, RAG, LangChain, and vector DB experience increases filter strictness.
Design and implement AI-native solutions addressing strategic business problems for Aptean's customers.
Collaborate with business analysts and data integration engineers to deliver and continuously improve AI solutions including Generative AI pipelines and traditional ML models.
Ensure measurable business value delivery by rapid solution deployment and ongoing monitoring in dynamic customer environments.
4-6 years of work experience in AI/ML implementation.
Bachelor's degree in Engineering (preferably Computer Science); Master's degree preferred.
Strong proficiency in Python for scripting, data processing, model development, and integration.
Experience with Generative AI frameworks (RAG, LangGraph, LangChain), RAG pipeline development, NLP techniques, and deploying traditional ML models.
Expert in Generative AI and traditional machine learning techniques with hands-on experience in real-world business use cases, especially supply chain forecast and inventory reconciliation.
Collaborative communicator capable of troubleshooting and coordinating between technical and business teams to refine AI solutions.
Familiarity with advanced optimization techniques like linear or mixed-integer optimization is a strong plus.