Description
About our client
Our Client operates in the Food and Beverage Manufacturing Industry, with its headquarters rooted strongly in the United States. It has its branches spread to more than 70 countries, providing employment to more than 1,60,000 people all over the world. They fall in the Top 10 Largest Agricultural Companies in the World 2020. Their core business is to connect producers and users with agricultural needs, around the world, and also offer risk management solutions and other services for farmers.
Job description
Responsibilities:
- Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.
- Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.
- Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.
- Contribute to the establishment of best practices and standards for generative AI development within the organization.
- Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
- Other duties as assigned
Requirements:
- Bachelor’s degree in a related field or equivalent experience
- Minimum of five years of related work experience
- You are proficient in Python and have experience with machine learning libraries and frameworks
- Have deep understanding of industry leading Foundation Model capabilities and its application.
- You are familiar with cloud-based Generative AI platforms and services
- Full stack software engineering experience to build products using Foundation Models
- Confirmed experience architecting applications, databases, services or integrations