Poiro

Poiro - Artificial Intelligence Engineer - LLM Models

Job Location

bangalore, India

Job Description

Key Responsibilities : - Design, develop, and deploy applications leveraging LLMs (OpenAI, Gemini, etc.) for specific business use cases. - Implement and optimize RAG pipelines to enhance LLM response accuracy and relevance. - Fine-tune pre-trained LLMs using techniques like PEFT, LoRA, and QLoRA to improve task-specific performance. - Develop and implement NLP solutions for sentiment analysis, topic modeling, information extraction, and other text-based tasks. - Utilize advanced NLP techniques (Seq2Seq, attention models, tokenizers, etc.) to extract meaningful insights from text data. - Develop rapid POCs and MVPs to demonstrate the feasibility of new AI/ML solutions across infrastructure, storage, analytics, AI/ML, and security. - Document and present findings and recommendations to stakeholders. - Design and build scalable and cost-effective AI/ML solutions on Azure cloud platforms, ensuring adherence to best practices. - Deploy and maintain AI/ML models in production environments. - Research and evaluate emerging AI/ML technologies and trends, identifying opportunities for innovation. - Translate research findings into actionable recommendations for product development. - Implement efficient tools and processes to improve development workflows and ensure high code quality. - Contribute to the development and maintenance of AI/ML best practices. - Observe and assess related technology solutions, aligning with company tech strategy and acquisition goals. - Predict technology applications for business, including long-term trends and impact on product roadmaps. - Support business development initiatives by contributing to solutioning, estimations, and RFI/RFP responses. - Provide technical expertise during sales engineering Skills : - Strong hands-on experience with Python-based web and backend frameworks (Django, Flask, FastAPI). - Extensive experience with LLMs (OpenAI, Gemini, Mistral, Falcon, etc.) - Retrieval Augmented Generation (RAG): Advanced knowledge of RAG and Multi-Modal RAG. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/1/2025
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Poiro

Posted

May 1, 2025
UID: 5148619379

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