Data Scientist - II (Gen AI - LLM's & RAG)

3 - 11 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

You'll be Responsible for:

  • Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications
  • Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies
  • Drive innovation in AI agent development and orchestration for automated decision-making systems
  • Establish best practices for responsible AI development and deployment


What you'd have:

  • AI-ML Engineer or Data Scientist with 3 - 11 years of relevant experience
  • Strong expertise in modern AI frameworks and tools:
  • ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn)
  • LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)
  • Vector databases (Pinecone, Weaviate, ChromaDB) Good To Have
  • Hands-on experience with:
  • Generative AI and foundation models
  • Prompt engineering and LLM fine-tuning
  • AI agent development and orchestration
  • RAG (Retrieval-Augmented Generation) systems
  • Proven experience in data preparation, including:
  • Advanced data preprocessing techniques
  • Feature engineering
  • Data quality assessment and improvement
  • Proficiency in data exploration tools (Pandas, Numpy, Polars)
  • Strong programming skills in Python; R is a plus
  • Deep understanding of:
  • Statistics and probability
  • ML/DL algorithms
  • AI governance and responsible AI practices
  • Experience with:
  • Large-scale data processing
  • Model deployment and MLOps
  • Cost optimization for AI systems
  • Track record of 3-5 successful AI/ML projects in production
  • Excellent communication skills and team leadership ability
  • Continuous learning mindset for emerging AI technologies


Skills:

  • Statistics and Mathematics
  • Classical Machine Learning
  • Deep Learning and Neural Networks
  • Generative AI and LLMs
  • Agentic AI Development
  • MLOps and Production Engineering
  • Data Engineering
  • Model Optimization and Tuning
  • AI Governance and Ethics
  • Team Leadership


Why join us?

  • Impactful Work:

    Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry.
  • Tremendous Growth Opportunities:

    Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development.
  • Innovative Environment:

    Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated.

Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.

www.tanla.com

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