Demo

Gen AI LLM Engineer

Tech Mahindra
Austin, TX Full Time
POSTED ON 1/17/2025
AVAILABLE BEFORE 4/16/2025

We are seeking a highly motivated and talented Gen AI LLM Associate. In this role, associate will play a critical part in refining and enhancing a cutting-edge Large Language Model (LLM) specifically designed to generate DB queries from natural language prompts. Your expertise in both natural language processing and database technologies will be instrumental in creating a powerful and user-friendly tool for data analysts and engineers.

Key Responsibilities :

  • Model Tuning & Optimization :
  • Fine-tune pre-trained LLMs on extensive DB datasets to enhance their ability to generate accurate and efficient DB queries from natural language instructions.
  • Experiment with different model architectures, hyperparameters, and training techniques to optimize model performance and efficiency.
  • Implement techniques to improve model robustness, address biases, and ensure the safety and reliability of generated DB queries.
  • Data Preparation & Management :
  • Collect, clean, and curate high-quality DB datasets for model training and evaluation.
  • Develop and maintain data pipelines for efficient data ingestion, transformation, and loading.
  • Explore and implement data augmentation techniques to improve model generalization and robustness.
  • System Development & Integration :
  • Design and implement robust and scalable systems for model deployment and inference.
  • Integrate the LLM into existing data platforms and workflows.
  • Develop user interfaces and APIs for seamless interaction with the LLM.
  • Research & Development :
  • Stay abreast of the latest advancements in natural language processing, database technologies, and LLM research.
  • Conduct research and experimentation on novel approaches to DB query generation and LLM fine-tuning.

Required Qualifications :

  • Strong foundation in Natural Language Processing (NLP) : Deep understanding of NLP concepts, techniques, and architectures (e.g., transformers, attention mechanisms).
  • Proficiency in SQL : Good knowledge of SQL syntax, semantics, and optimization techniques.
  • Programming Proficiency : Strong programming skills in Python and / or Rust.
  • Database Expertise : Good understanding of databases. Familiarity with database concepts such as indexing, query planning, and data warehousing.
  • Distributed Systems : Experience with distributed computing frameworks like Apache Flink, Apache Spark, and cloud-based data processing services (e.g., AWS EMR, Google Dataflow).
  • Preferred Qualifications :

  • Experience with Large Language Models (LLMs) : Prior experience with fine-tuning and deploying LLMs, particularly for tasks related to code generation or natural language to code translation.
  • Cloud Computing Experience : Familiarity with AWS services (e.g., S3, EC2, Lambda, SageMaker

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