Sr.AI Engineer/Lead

5 - 9 years

0 Lacs

Posted:-1 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an AI/ML professional with 5+ years of experience, you are expected to have a strong expertise in deep learning encompassing supervised, unsupervised, self-supervised, and reinforcement learning. Additionally, you should be well-versed in Large Language Models including Transformers, self-attention, mixture of experts, and embeddings. Key Responsibilities: - Proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design, orchestration, and optimization. - Hands-on experience required in model fine-tuning, data pre-processing, and Python programming. Proficiency in ML frameworks such as PyTorch, TensorFlow, or equivalent is essential. - Experience with LangChain, LangGraph (preferred) or CrewAI / LlamaIndex, and LLMOps tools like LangFuse (preferred) or LangSmith. - Strong knowledge of AWS development and deployment, including ECS, Lambda, S3, and AWS AI/ML/GenAI platforms such as SageMaker and Bedrock. - Familiarity with containerization and orchestration tools such as Docker and Kubernetes. - Ability to deploy scalable AI/ML solutions in production environments with a focus on reliability, performance, and usability. - Excellent problem-solving skills with a track record of delivering end-to-end AI solutions in real-world applications. Qualifications Required: - At least 5 years of experience in the field of AI/ML. - Proficiency in deep learning techniques and Large Language Models. - Hands-on experience with Python programming and ML frameworks such as PyTorch, TensorFlow, or equivalent. - Familiarity with AWS development and deployment, containerization, and orchestration tools. - Ability to design and deploy scalable AI/ML solutions focusing on reliability and performance. For any additional details about the company or the role that are not provided in the job description, please provide them separately.,

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