AI Researcher

1 day ago

Pune, India Weekday AI Full time

This role is for one of the Weekday's clients Salary range: Rs 800000 - Rs 1500000 (ie INR 8-15 LPA) Min Experience: 2 years Location: Pune, Mumbai, Rajasthan, GUJRAT, Ahmedabad JobType: full-time Requirements What You’ll Do - Explore Emerging AI Models: Continuously assess cutting-edge LLMs and multimodal systems—including next-gen interaction models like voice interfaces, agentic UIs, and adaptive experiences—across platforms such as OpenAI, Anthropic, Mistral, DeepSeek, and Meta. - Build Rapid Prototypes: Develop high-fidelity proof-of-concepts using modern agent frameworks and architectures (LangGraph/LangChain-style workflows, retrieval pipelines, structured output, tool orchestration, etc.). - Design + Run Experiments: Create and execute experiments to evaluate agent behaviors, fine-tuning strategies, memory models, and new interaction patterns. - Partner with Engineering Teams: Work closely with AI Engineers to convert research prototypes into scalable, production-ready systems. - Benchmark Models: Create evaluation setups to measure model accuracy, latency, cost, hallucination behavior, and reliability. - Stay Ahead of AI Evolution: Track advancements in model architecture, inference optimization, adapters, multimodal I/O, and emerging research. - Document & Present Findings: Publish internal research summaries, share insights, and recommend future platform or product improvements. You Might Be a Strong Fit If You Have - 2+ years of hands-on AI/ML research or engineering experience (industry or academic). - Deep understanding of LLM architecture—transformers, attention, fine-tuning, LoRA/QLoRA, inference scaling, etc. - Proficiency in Python and at least one ML framework (PyTorch, JAX, Hugging Face, etc.). - Experience building or fine-tuning retrieval-augmented pipelines, agent systems, or tool-using models. - Familiarity with cloud compute, GPUs, vector databases, and model deployment stacks. - Ability to prototype quickly—turning research concepts into working demos in days, not months. - Strong communication skills—able to translate complex research into actionable insights for product, design, and engineering teams. Nice to Have - Experience with LangGraph, LangChain, DSPy, or similar orchestration tools. - Background in multimodal AI (vision, speech, video, ASR/TTS). - Knowledge of evaluation, red teaming, safety, or alignment techniques. - Contributions to open-source LLM projects or published research papers. - Experience in enterprise AI, governance, compliance-aware systems, or safety-based architectures.

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