Decentralized AI Intern

Your responsibilities

The selected candidate will have the opportunity to contribute to a Machine Learning Operations (MLOps) platform, which supports state-of-the-art training and inference features with a focus on sustainable MLOps practices.

The selected candidate will have the opportunity to contribute to a GenAI and AI/ML systems. The selected candidates will work on:

• Design and implement research ideas in the field of AI/ML
• Work on developing solutions using Deep NN, Reinforcement Learning, Speed up learning approaches, etc.
• Work with different platforms and Proof of Concepts to validate the contributed / proposed solutions
• Build a framework combining concepts in autonomous agents and decentralized systems
• Work on the Auction based network selection approaches
• Explore and get familiar with various open-source software libraries.

Your skills and experience

We are looking for students with the following background and skillset.

• Good knowledge of ML concepts.
• Good knowledge / worked with Deep Reinforcement learning.
• Good knowledge/of working with distributed systems and communication protocols.
• Good knowledge /worked with Language and Multimodal Agents
• Being autonomous with open source libraries (PyTorch, HF Transformers, TRL, Langgraph, CrewAI) and being fluent in Python are pre-requisite.
• Large autonomy in the work, ability to ask for support, good communication, strong attention to details.
• Intermediate/advanced knowledge of Multi Agentic AI systems and Game Theory
• Intermediate/advanced knowledge of Voice Agents and Digital Signal processing
• Intermediate/advanced knowledge of Probabilistic Data Structures.
• Intermediate/advanced knowledge of Microservices – docker-compose, Kubernetes etc.
• Intermediate/advanced knowledge of Finetuning and Preferential Alignment of Large Language Models, Visual Language Models, and Large Reasoning Models
• Working knowledge of crypto networks.