AI/ML Engineer
Marlabs (company site, opens in a new tab)BengaluruRemoteDirect career pageEst. 12–28 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy production-ready AI/ML workflows including LLM-powered classification, information extraction, recommendation, and decision-support applications.
- Build and optimize Retrieval-Augmented Generation (RAG) solutions with document ingestion, embeddings, vector search, reranking, and cited response generation.
- Implement AI guardrails, monitoring, human-in-the-loop validation, and integrate AI models with enterprise systems via APIs ensuring secure, reliable, governed AI outputs.
Minimum Requirements
- Proficient in Python with strong software engineering skills for building production AI/ML applications.
- Hands-on experience with LLM APIs, Retrieval-Augmented Generation (RAG) workflows, prompt orchestration, embeddings, vector search technologies (e.g., Pinecone, Weaviate, FAISS).
- Experience building AI evaluation frameworks, guardrails, human-in-the-loop workflows, and continuous monitoring for AI production readiness.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in end-to-end AI/ML solution delivery for enterprise-scale automation and knowledge retrieval use cases.
- Capable of integrating AI services tightly with business applications like CRM, data platforms, and workflow systems via APIs.
- Skilled in developing governed AI systems requiring explainability, reliability, security, and continuous improvement based on operational metrics and feedback.