Demo

Software Development Engineer

Convergenz
Mc Lean, VA Full Time
POSTED ON 3/23/2025
AVAILABLE BEFORE 4/22/2025
  • Roles and Responsibilities :
  • Stay up to date on the most current developments in the generative AI space
  • Deploy machine learning models and services on cloud platforms such as AWS, Google Cloud, or Azure
  • Collaborate with cross-functional teams, including data scientists, researchers, and other engineers, to integrate LLMs and RAG into broader projects
  • Manage large datasets, including data cleaning, preprocessing, and transformation
  • Develop and maintain data pipelines to ensure seamless data flow for model training and evaluation
  • Communicate technical concepts and project progress to non-technical stakeholders and team members
  • Conduct experiments to fine-tune parameters and optimize model performance
  • Implement techniques to improve the efficiency and scalability of LLM and RAG systems
  • Stay up-to-date with the latest advancements in NLP, machine learning, and deep learning fields to inform project strategies
  • Monitor and maintain deployed models to ensure they perform reliably and meet performance benchmarks
  • Ensure code quality by following best practices in software development, including version control, testing, and continuous integration / continuous deployment (CI / CD)
  • Document code and maintain comprehensive technical documentation to support team knowledge sharing and project handovers
  • Requirements :
  • 10 years of experience delivering production ready , industrial strength code, and implementing CI / CD pipelines.
  • Proficiency in Python and familiarity with libraries such as TensorFlow and PyTorch.
  • Extensive experience with neural network architectures, particularly transformers, and NLP techniques.
  • RAG and Data Engineering : - Understanding of Retrieval-Augmented Generation (RAG) and hands-on experience with implementing RAG solutions.
  • Proficiency in handling and preprocessing large datasets, as well as experience with data pipelining and ETL processes.
  • Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying ML models.
  • Strong software engineering fundamentals, including version control, testing, and CI / CD.
  • Ability to design efficient algorithms for data retrieval and model training, and optimize models through Hands-on experience with the following
  • Python, pytorch, tensofflow, pandas, Scikit-learn, teras and other AI / Ml libraries - JavaScript - Other object-oriented programming languages - React.js - Cloud Architecture Frameworks such as AWS well architected
  • Experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) architecture
  • Hands-on senior software developer with real-life experience designing, developing, and deploying large language models (LLMs) and Retrieval-Augmented Generation (RAG) solutions to production environments.
  • Not looking for someone that only has theoretical or white / board design experience
  • Minimum degree : Bachelor's (Masters preferred)
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