
AI/ML Engineer
MNR Technologies Global Pvt Ltd
full-time
Posted on:
Location Type: Remote
Location: India
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Job Level
Tech Stack
About the role
- Build modular, agent-driven AI systems using LangChain, LangGraph, and CrewAI
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone, or Weaviate
- Fine-tune LLMs using HuggingFace Transformers for tasks like document summarization, extraction, and classification
- Design scalable and performant APIs using FastAPI (RESTful + async endpoints)
- Perform EDA, feature engineering, and implement core ML algorithms
- Collaborate with product and engineering teams to deliver production-grade solutions
- Work on both real-time and batch AI systems, ensuring reliability and scalability
Requirements
- 1–2 years of hands-on experience in AI/ML engineering or a related role
- Working knowledge or experience with LangChain, LangGraph, or CrewAI
- Proficiency in Python and FastAPI for backend development
- Familiarity with vector databases (e.g., FAISS, Pinecone, Chroma) and RAG architectures
- Experience with LLM fine-tuning using HuggingFace or similar frameworks
- Good understanding of NLP tasks like NER, summarization, classification, and sentiment analysis
- Solid foundation in EDA, supervised/unsupervised learning, and core ML algorithms
- Comfortable working with APIs and integrating third-party services.
Benefits
- Equal Opportunity Provider
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI systemsRetrieval-Augmented Generationvector databasesHuggingFace Transformersdocument summarizationfeature engineeringcore ML algorithmsPythonFastAPINLP tasks
Soft Skills
collaborationcommunication