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Applied Machine Learning Scientist

Applied Machine Learning Scientist

ConvoZenBengaluru, Republic Of India, IN
2 days ago
Job description

About ConvoZen AI

At ConvoZen AI, we are at the forefront of the generative AI revolution. We empower businesses to build, deploy, and manage sophisticated AI agents that drive real-world value. Our "Forward Deployed Engineers" are the tip of the spear, working directly with customers to turn cutting-edge AI concepts into production-ready applications.

The Role

The Data Scientist is a hands-on role at the heart of our platform's intelligence. You will be a key contributor to the "science" of our conversational AI, responsible for building, experimenting with, and helping to refine the core LLM-powered systems that our agents rely on.

You are a curious and driven builder who is passionate about working with LLMs. You will actively participate in applied research and development, help build robust benchmarks, and collaborate closely with Product and Engineering to translate new breakthroughs into tangible, production-ready features.

What You'll Do

  • Actively contribute to R&D projects to explore, prototype, and implement cutting-edge techniques in LLMs and conversational AI.
  • Focus areas include : advanced RAG strategies, model fine-tuning, agentic workflows, multi-agent orchestration, and prompt optimization.
  • Stay up-to-date with the latest academic and industry research and apply relevant findings to our platform.
  • Help design, build, and maintain our evaluation framework to rigorously benchmark AI models and agent performance.
  • Implement and track key metrics for quality, accuracy, latency, cost, and safety.
  • Perform deep-dive analyses of model failure modes to identify and suggest strategies for improvement.
  • Contribute to our model strategy by running experiments to compare proprietary models (e.G., GPT-4o, Claude 3), open-source models, and fine-tuned specialist models.
  • Conduct experiments for fine-tuning or (P)EFT-tuning models for specific customer domains and tasks.
  • Collaborate with the Product team to provide data-driven insights on AI / LLM capabilities, helping to inform the product roadmap.
  • Partner with Engineering to support MLOps pipelines for deploying, monitoring, and updating models and AI systems in production.
  • Work with our Forward Deployed Engineering team to provide guidance on complex AI challenges.
  • Collaborate with senior data scientists and engineers, sharing your findings and learning from others.
  • Clearly communicate complex technical concepts and results to both technical and non-technical stakeholders.

Who You Are (Qualifications)

  • MS in Computer Science, AI, NLP, Machine Learning, or a related quantitative field, or equivalent practical experience.
  • 3-5+ years of hands-on industry experience in data science, with at least 2+ years focused specifically on NLP and Machine Learning.
  • Demonstrable, hands-on experience with the modern LLM stack. You must have :
  • Experience building and working with RAG (Retrieval-Augmented Generation) pipelines.
  • Practical experience with model fine-tuning (e.G., using Hugging Face) and / or parameter-efficient tuning (P)EFT techniques.
  • Good understanding of agentic frameworks (e.G., LangChain, LlamaIndex) and the principles of tool use and multi-step reasoning.
  • A strong grasp of core NLP concepts, including transformers, embeddings, tokenization, and dialogue systems.
  • Expert-level proficiency in Python.
  • Deep experience with modern ML / NLP libraries (e.G., PyTorch, Hugging Face transformers, datasets, evaluate, LangChain).
  • Experience with vector databases (e.G., Pinecone, Weaviate, Milvus).
  • A proven ability to run structured experiments, work with ambiguity, and translate complex research into practical, high-impact solutions.
  • Bonus Points

  • A strong record of publications in top-tier AI, ML, or NLP conferences (e.G., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL).
  • Experience building and deploying AI models in a production, low-latency environment (MLOps).
  • Experience with multi-modal models (text, image, audio).
  • Contributions to open-source AI / ML projects.
  • Why Join ConvoZen AI?

  • Define the Core : You won't just use the platform;
  • you will help build its core intelligence. Your work will directly define the performance and capabilities of our product.

  • Work on the Frontier : You'll be solving novel, complex problems at the absolute cutting edge of technology—no two days will be the same.
  • Build the Future : You will directly influence the product roadmap of a next-generation AI platform, turning your research into features used by world-class companies.
  • World-Class Team : We are a small, focused team of passionate, brilliant, and kind people who are dedicated to building something truly transformative.
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    Scientist Machine Learning • Bengaluru, Republic Of India, IN

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