Sr. AI Engineer/Lead

EduRun Group

5 - 9 years

0 Lacs

karnataka

Posted:16 hours ago| Platform: Shine logo

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Skills Required

deep learning unsupervised learning reinforcement learning transformers graph databases orchestration optimization ecs bedrock containerization docker kubernetes reliability performance usability aiml supervised learning selfsupervised learning large language models selfattention mixture of experts embeddings retrieval augmented generation rag vector databases prompt engineering ai agent design model finetuning data preprocessing python programming ml frameworks pytorch tensorflow langchain langgraph crewai llamaindex llmops tools langfuse langsmith aws development aws deployment lambda s3 sagemaker orchestration tools scalable aiml solutions problemsolving endtoend ai solutions

Work Mode

On-site

Job Type

Full Time

Job Description

As an AI/ML expert with over 5 years of experience, you will be responsible for: - Demonstrating strong expertise in deep learning, including supervised, unsupervised, self-supervised, and reinforcement learning techniques. - Proficiency in working with Large Language Models like Transformers, self-attention, mixture of experts, and embeddings. - Utilizing Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design for effective solution development. - Hands-on experience in model fine-tuning, data pre-processing, and Python programming using ML frameworks such as PyTorch, TensorFlow, or equivalent. - Working with LangChain, LangGraph, CrewAI, LlamaIndex, and LLMOps tools like LangFuse or LangSmith for efficient project execution. - Strong knowledge of AWS development and deployment, including ECS, Lambda, S3, and platforms like SageMaker and Bedrock for AI/ML solutions. - Familiarity with containerization and orchestration tools such as Docker and Kubernetes for efficient deployment. - Deployment of scalable AI/ML solutions in production environments focusing on reliability, performance, and usability. - Excellent problem-solving skills and experience in delivering end-to-end AI solutions for real-world applications. Your qualifications should include: - 5+ years of experience in AI/ML domain. - Proven expertise in deep learning and Large Language Models. - Hands-on experience with Python programming and ML frameworks. - Familiarity with LangChain, LangGraph, CrewAI, LlamaIndex, and LLMOps tools. - Strong knowledge of AWS development and deployment. - Experience with containerization and orchestration tools like Docker and Kubernetes. - Ability to deploy scalable AI/ML solutions with a focus on reliability and performance.,

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