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Job Description

Job Title:

Python Developer - AWS, SQL, Machine Learning & LLM Specialist

Why We Work at Dun & Bradstreet
At Dun & Bradstreet, we are passionate about leveraging data to uncover truth and meaning. We foster an innovative environment where talented individuals can thrive. Join us for a unique opportunity to be part of a storied brand that tackles exciting, cutting-edge challenges.

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.

Dun & Bradstreet is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.

We are committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to (e-mail removed) Determination on requests for reasonable accommodation are made on a case-by-case basis.

Please note that all Dun & Bradstreet job postings can be found at (link removed) and all communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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