Python Developer (GenAI Acceleration Team)

Key Skills

Agile methodologies, Azure, Continuous Integration & Continuous Delivery - CI/CD, Database, DevOps, Generative AI, Google Cloud Platform (GCP), Large Language Models - LLMs, Python Programming, Sass

Job Description

As part of the newly created Generative AI Accelerator team, we are leveraging Generative AI technologies to support various business use cases, such as interpreting image data for production flaw detection and employing RAG models for knowledge management. Once a high-level idea is validated through experimentation, we package it for production deployment on the Cloud. We ensure IT compliance, operational resilience, supportability, and optimized costs.

With the rapid growth in demand for GenAI-based solutions, we are seeking candidates for Software Engineer positions who will design and develop these systems. If you are passionate about modern technologies, possess a scientific mindset, and seek opportunities to apply your skills in real value-added projects, this position is for you.

In this role, you will collaborate with Product Owners to understand business use cases and utilize your technical skills to design, implement, and optimize solutions. You will have the opportunity to deploy these solutions to production environments and observe their use by real business users. This role offers hands-on experience in building industry-standard applications using the Python programming language, leveraging the latest Generative AI technologies (ChatGPT, Google Gemini, Llama), and deploying them to cloud platforms (Azure, GCP).

Responsibilities

• Work on image/video analysis/interpretation use cases - starting from defining the scope and orchestrating the Proof-Of-Concept/Experimentation to obtain business approval for production implementation

• Building and applying Data Science knowledge and expertise to improve the effectiveness/accuracy of GenAI-based solutions through hands-on coding

• Calculating and monitoring application E2E costs to assess real value provided by the system

• Implement the production solution via hands-on development of the production pipeline

• Implementing application components and capabilities like front-end, database, logging, authentication, Disaster Recovery

• Conducting handover of the system to hosting platform support

• Performing platform optimization projects to ensure code/platform reusability for new use cases

• For applications on production - performing the DevOps support and operational maintenance (for ex.: re-experimentation of use cases on new LLM models)

Job Qualifications

• 2-5 years of relevant experience with Azure Cloud platform (Azure Machine Learning Studio) and programming in Python language (proficient level)

• Strong written and verbal English language communication skills

• Ability to work collaboratively in multinational/multicultural environment

• Ability to handle multiple priorities

• At least Bachelor's degree preferably in the IT knowledge domain

Nice to have

• Google Cloud platform experience

• GenAI API experience – for ex. Langchain

• Machine Learning, Data Science, and Data Engineering project experience

• Familiarity/basic expertise in Agile, CI/CD, DevOps

What we offer

• Industry Certifications (e.g. DevOps, Azure, and many others)

• Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, in-office fitness center)

• Internal coaching programs & training

• Flexible working arrangements

• A long-term career with development and growth opportunities

Who we are

Information Technology (IT) at Procter & Gamble is where business, innovation, and technology integrate to create a competitive advantage for P&G. Our mission is clear - we deliver IT to help P&G win with the over 5 billion consumers we serve worldwide. Our IT professionals are diverse business leaders who apply IT mastery to deliver game-changing, technology-driven business models and capabilities for our 65 iconic, trusted brands.