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2 days ago
This is a full-time opportunity (40 hours/week) for someone who thrives in a dynamic environment and is passionate about solving real-world problems using advanced ML techniques.
Key Responsibilities: Design and implement solutions using Large Language Models (LLMs)Develop and fine-tune prompt engineering strategies for performance optimization Work on Retrieval-Augmented Generation (RAG) pipelines and knowledge-grounded systems Apply a wide range of ML techniques including classification, clustering, embeddings, and optimization Collaborate closely with backend and AI engineering teams to integrate ML solutions into production systems Contribute to experimentation, model evaluation, and continuous improvement cycles What We're Looking For: Strong hands-on experience with LLMs (Open AI, Hugging Face, etc.)Proficiency in prompt engineering, few-shot learning, and RAG frameworks Solid understanding of machine learning fundamentals and applied techniques Familiarity with tools like Lang Chain, Pinecone, Weaviate, or similar Ability to work independently and manage time effectively in a remote setting Eagerness to learn, adapt, and contribute proactively in a fast-paced environment What Matters to Us: We value commitment and curiosity over formal degrees We appreciate individuals who take ownership and bring a solutions-first mindset We are building a culture of speed, experimentation, and continuous learning Position Details: Type: Full-Time Intern (45-50 hours/week)Location: Remote (Gurugram residents preferred)PPO: After 3 months of completion a full time offer will be rolled out depending on the performance Compensation: Competitive, based on experience and capability Start Date: Immediate If you're excited to work on cutting-edge AI systems and grow with a team that's moving fast, we'd love to hear from you.
Please send your resume, portfolio (if available), and a short note on why you're interested to naman@workableai.org or jatin.choudhary@workableai.org
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