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Intern - Machine Learning Engineer
PhoenixAI
Mumbai, IND
Internship
Internship
Hybrid
Discovered 1 weeks ago
Machine learningLarge language modelsFoundation modelsPythonPyTorchPrompt tuning
Free
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Machine learningLarge language modelsFoundation models
Role Overview
PhoenixAI is hiring a Machine Learning Engineer Intern to work at the intersection of machine learning and robotics innovation.
The role focuses on bringing frontier models into production for physical AI and specialized chip engineering applications.
Key Skills for This Role
Machine learningLarge language modelsFoundation modelsPythonPyTorchPrompt tuning
Full Job Posting
Role Overview
PhoenixAI is hiring a Machine Learning Engineer Intern to work at the intersection of machine learning and robotics innovation.
The role focuses on bringing frontier models into production for physical AI and specialized chip engineering applications.
What You Will Do
- Fine-tune, evaluate, and deploy LLMs and foundation models for specialized chip engineering tasks.
- Build scalable inference systems, agentic workflows, and RAG pipelines for intelligent, interactive design tools.
- Optimize model performance through batching, caching, quantization, and streaming to achieve sub-second latency.
- Collaborate with AI scientists to operationalize experimental techniques and deliver robust, production-grade systems.
- Contribute to architecture decisions for scalable and reliable ML infrastructure in a cloud-native environment.
Required Qualifications
- Hands-on experience working with LLMs, including prompt tuning, fine-tuning, and evaluation.
- Deep expertise in Python, PyTorch, and the surrounding machine learning tooling ecosystem.
- Familiarity with orchestration frameworks and agentic workflows such as LangChain or LlamaIndex.
- Strong understanding of vector search, semantic embeddings, and RAG systems.
- Solid grasp of scalable ML architecture and high-availability inference systems.
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