Python Developer

1 week ago

Hyderabad, India Dun & Bradstreet Technology and Corporate Services India LLP Full time

The Role

We are seeking a seasoned Python Developer with a passion for machine learning and experience with Large Language Models (LLMs) to join our innovative team. As a key contributor to our development efforts, you will harness the power of social media data and leverage cutting-edge machine learning techniques, including work with LLMs, to deliver high-impact solutions.


Key Responsibilities:

  • Spearhead the development and deployment of advanced software solutions, emphasizing machine learning and LLM applications within the AWS ecosystem.
  • Architect robust, scalable cloud solutions to facilitate complex machine learning workflows, including the deployment and scaling of LLMs.
  • Partner with Data Scientists to evolve predictive models from ideation to a production environment, significantly enhancing our machine learning capabilities.
  • Manage AWS infrastructure, optimizing it for the rigorous demands of high-volume machine learning computations and large-scale data processing.
  • Lead cross-functional engineering teams, offering technical leadership and encouraging a culture of technical excellence and innovation.
  • Design, refine, and oversee ETL operations to manage large datasets effectively, which are instrumental in training machine learning models, especially LLMs.
  • Implement and uphold Infrastructure as Code (IaC) methodologies to automate and manage AWS cloud resources efficiently.
  • Develop tools for the deployment, monitoring, and operational analysis of AWS infrastructure, with an emphasis on ensuring the seamless performance of machine learning systems.

Skill Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
  • At least 5 years of experience in Python development, with a substantial focus on machine learning and familiarity with LLMs.
  • Proven expertise in AWS cloud services, with AWS certification strongly preferred, alongside a deep understanding of the infrastructure needs for machine learning and LLMs.
  • Profound grasp of Linux environments and AGILE methodology.
  • Solid experience with DevOps tools and practices, including AWS Services, GitHub, Jenkins, and Terraform.
  • Strong ability to construct SQL queries and manage relational databases.
  • Proficiency in Git for version control.
  • Advanced skills in Python for backend development and scripting, with experience in Node.js being a plus.

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