The Role
Design, build, and deploy ML and generative AI applications using LLMs and RAG systems. Develop scalable APIs, manage AI pipelines and vector search, handle structured/unstructured data, train and evaluate models, and integrate AI capabilities into applications using cloud and deployment tools.
Summary Generated by Built In
- OpenAI
- Azure OpenAI
- Claude
- Gemini
- FastAPI
- Flask
- LangChain
- LlamaIndex
- LangGraph
- CrewAI
- Pandas
- NumPy
- Pinecone
- FAISS
- Weaviate
- Chroma
Requirements
- Machine Learning fundamentals
- Model training and inference
- Feature engineering
- Model evaluation metrics
- OpenAI
- Azure OpenAI
- Claude
- Gemini
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- LangChain
- LlamaIndex
- LangGraph
- CrewAI
- AWS
- Azure
- GCP
Skills Required
- Strong programming skills in Python
- Basic understanding of JavaScript / TypeScript
- Experience in API development using FastAPI or Flask
- Understanding of machine learning fundamentals, model training, inference, feature engineering, and model evaluation metrics
- Hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Claude, Gemini)
- Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG)
- Experience with AI/LLM frameworks (LangChain, LlamaIndex, LangGraph, CrewAI)
- Strong data handling skills using Pandas and NumPy
- Understanding of embeddings and vector search concepts
- Experience with SQL and vector databases (Pinecone, FAISS, Weaviate, Chroma)
- Basic knowledge of cloud platforms (AWS, Azure, GCP)
- Familiarity with Docker, REST APIs, Git, and Jupyter Notebook
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The Company
What We Do
Marketscope is a technology company specializing in the development and integration of Advanced Driver Assistance Systems (ADAS) and the scaling of production-grade AI/ML applications. The company focuses on AI platform engineering and product stacks, targeting strategic enterprise accounts and government sales, particularly within the Indian market, while expanding its reach into new international industries.








