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About the role
About Injala Injala is a multinational enterprise software company specializing in product-based solutions for the insurance industry. As a leading disruptor, Injala delivers innovative technology that is driving a transformational shift in risk management. Headquartered in Dallas, USA, with offices in India, Injala has achieved consistent annual growth of over 30% for the past five years reflecting its strong market impact and commitment to excellence. Website URL: https://www.injala.com/ REQUIREMENTS Strong proficiency in Python (3.x) 3-5 years of experience in AI/ML application development Strong understanding of Machine Learning and Deep Learning concepts Experience working with Large Language Models (LLMs) such as GPT, Llama, Phi, Claude, etc. Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI Agent frameworks Experience with REST API development using FastAPI, Flask, or Django Strong understanding of software architecture and system design principles Experience with model deployment and inference optimization Familiarity with Vector Databases (FAISS, ChromaDB, Pinecone, Weaviate, etc.) Experience with Transformer-based models (BERT, LayoutLM, RoBERTa, etc.) Exposure to LangChain, LangGraph, CrewAI, AutoGen, or similar AI frameworks Experience with Hugging Face ecosystem and model fine-tuning Experience with document processing and OCR Knowledge of NLP techniques including classification, information extraction, and semantic search Experience with Git, CI/CD pipelines, and software development best practices Understanding of relational and non-relational database Strong English communication skills WOULD BE A PLUS Experience with Azure AI Services, Azure OpenAI, AWS, or GCP MCP server & AI Agents, Agentic AI Experience with containerization and orchestration (Docker, Kubernetes) Experience with MLOps tools and model monitoring RESPONSIBILITIES Design, develop and maintain AI/ML solutions for business applications Build and optimize LLM-powered applications and document-processing pipelines Develop APIs and backend services for AI model integration Fine-tune, evaluate, and deploy machine learning models Monitor model performance and continuously improve accuracy and efficiency Perks: Open Door Working Culture Rewards & Recognitions Referral Bonus Flexible time policy Family Medical Insurance
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