Job Title

API AI development for data & application interoperability

Location

Mexicali, Baja California Mexico

Department

Trimble - AECO

Position Summary

Digital technologies, including analytics and AI, offer companies an unprecedented opportunity to achieve performance levels far beyond anything previously possible. To fully capitalize on this potential, clients require innovative business models that thoroughly analyze customers and business operations from every perspective. With the power of Microsoft AI and our strong partnerships, we leverage artificial intelligence and data science through enterprise data management solutions. This enables us to help leading companies rapidly prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.

What You Will Do

Help build next generation API interface to existing ERP suite using AI technologies
Design, develop, and deploy AI solutions within our ERP products, leveraging OpenAI, ChatGPT, and other relevant AI frameworks, working independently on day-to-day tasks
Collaborate with cross-functional teams to understand user needs, utilizing your knowledge of internal and external business issues to translate them into AI-driven features that enhance customer experiences
Work on problems of diverse scope, evaluating identifiable factors and demonstrating good judgment to select the best methods and techniques for AI feature development
Lead small AI feature projects or initiatives with manageable risks and resource requirements, guiding them from concept to production
Act as a key resource and provide informal guidance for colleagues with less experience
Stay up-to-date with the latest advancements in AI and continuously explore new opportunities to leverage them within our ERP ecosystem

What Skills & Experience You Should Bring

Minimum of 3+ years of relevant experience in ML/AI-related roles with expertise in building and deploying AI solutions
Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLMs performance on specific tasks (e.g., personalized recommendations)
Model Evaluation & Optimization: Evaluate LLMs zero-shot and few-shot capabilities, fine-tune hyperparameters to ensure task generalization, and explore model interpretability for robust web app integration
Response Quality: Collaborate with ML and Integration engineers to leverage LLMs' pre-trained potential, delivering contextually appropriate responses in a user-friendly web app
Programming & Tools: Proficient in Python with hands-on experience working with machine learning and NLP processing techniques and tools
Databases: Experience working with NoSQL databases and Vector DBs
Generative AI: Solid experience developing and implementing generative AI models with a strong understanding of deep learning techniques such as GPT, VAE, and GANs
Frameworks: Proficient in Langchain LLM
Fundamentals: Strong knowledge of data structures, algorithms, and software engineering principles
Required Technical Skills: Azure Open AI, OpenAI Studio, GPT-3/GPT-4