GenAI / AI-ML Engineer

GenAI / AI-ML Engineer Location: Noida (Onsite) Employment Type: Full-Time Experience: 46 Years Budget: 15-17 LPA Max Preference: Noida/NCR Local Candidates Only Key Responsibilities Design, develop, and deploy scalable AI/ML and Generative AI solutions.Build and optimize RAG (Retrieval-Augmented Generation) pipelines using modern frameworks and vector databases.Develop LLM-powered applications leveraging prompt engineering, AI agents, and multi-agent workflows.Fine-tune, evaluate, and monitor machine learning and deep learning models.Build REST APIs and backend services for AI applications.Design data preprocessing, feature engineering, and model evaluation pipelines.Integrate structured and unstructured data sources to deliver contextual AI solutions.Collaborate with cross-functional teams including Data Engineering, DevOps, and Product teams.Ensure scalability, reliability, and performance of AI applications in production environments.Programming & Development Strong hands-on experience in Python and SQL.Experience building APIs using FastAPI or similar frameworks.Strong understanding of software engineering best practices and Agile methodologies.Machine Learning & Deep Learning Hands-on experience with:Scikit-learnTensorFlowPyTorchKerasStrong understanding of:RegressionClassificationClusteringFeature EngineeringModel EvaluationHyperparameter TuningNLP & Generative AI Minimum 1+ year of hands-on experience in GenAI/LLM projects.Experience with:Large Language Models (LLMs)Prompt EngineeringRAG ArchitecturesAgentic AI / Multi-Agent SystemsLangChainLangGraphOpenAI APIsHugging FaceLangSmithRAG & Vector Databases Experience working with:PineconeFAISSKnowledge of embedding models and semantic search architectures.Experience with RAG evaluation metrics such as RAGAS, BLEU, and ROUGE.Cloud & DevOps Hands-on experience with AWS services:EC2S3SageMakerBedrockExperience with Docker, Git, JIRA, and CI/CD practices.Job Types: Full-time, Internship, Fresher Compensation: 1,500,000.00 - 1,700,000.00 per year Work Location: In person GenAI / AI-ML Engineer Location: Noida (Onsite) Employment Type: Full-Time Experience: 46 Years Budget: 15-17 LPA Max Preference: Noida/NCR Local Candidates Only Key Responsibilities Design, develop, and deploy scalable AI/ML and Generative AI solutions.Build and optimize RAG (Retrieval-Augmented Generation) pipelines using modern frameworks and vector databases.Develop LLM-powered applications leveraging prompt engineering, AI agents, and multi-agent workflows.Fine-tune, evaluate, and monitor machine learning and deep learning models.Build REST APIs and backend services for AI applications.Design data preprocessing, feature engineering, and model evaluation pipelines.Integrate structured and unstructured data sources to deliver contextual AI solutions.Collaborate with cross-functional teams including Data Engineering, DevOps, and Product teams.Ensure scalability, reliability, and performance of AI applications in production environments.Programming & Development Strong hands-on experience in Python and SQL.Experience building APIs using FastAPI or similar frameworks.Strong understanding of software engineering best practices and Agile methodologies.Machine Learning & Deep Learning Hands-on experience with:Scikit-learnTensorFlowPyTorchKerasStrong understanding of:RegressionClassificationClusteringFeature EngineeringModel EvaluationHyperparameter TuningNLP & Generative AI Minimum 1+ year of hands-on experience in GenAI/LLM projects.Experience with:Large Language Models (LLMs)Prompt EngineeringRAG ArchitecturesAgentic AI / Multi-Agent SystemsLangChainLangGraphOpenAI APIsHugging FaceLangSmithRAG & Vector Databases Experience working with:PineconeFAISSKnowledge of embedding models and semantic search architectures.Experience with RAG evaluation metrics such as RAGAS, BLEU, and ROUGE.Cloud & DevOps Hands-on experience with AWS services:EC2S3SageMakerBedrockExperience with Docker, Git, JIRA, and CI/CD practices.Job Types: Full-time, Internship, Fresher Compensation: 1,500,000.00 - 1,700,000.00 per year Work Location: In person