The board
- Where
- Remote, US
- Posted
- 3 days ago
Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.
We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in.
What you'd do
- Collaborate with stakeholders to identify new AI opportunities and create intelligent AI applications.
- Lead MVP development using a test-and-learn approach with cross-functional teams.
- Iterate from problem framing to prototyping and deploying production-grade solutions.
- Deliver reliable, scalable AI features in production.
- Build prototypes and develop data pipelines for deployment.
- Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback.
- Clearly communicate efforts and impact to both technical and business audiences.
What they want
- Currently enrolled in a Master’s of PhD program in Computational Data Science, Computer Science, Electrical/Computer Engineering, or related fields.
- A self-starter with the ability to work independently and within a team.
- Experience in a professional environment, including prior internship experience is preferred.
- Expertise in the latest Large Language Models (LLMs) and AI advancements.
- Proactive in staying updated with evolving AI trends and new LLM releases.
- Skilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset.
- Strong communication and presentation skills, able to convey complex analysis clearly and actionably.
- Results-oriented, creative thinker who takes initiative and delivers practical solutions.
- Committed to inclusivity, respecting diverse perspectives to foster innovation and build great products.
- Proven expertise in implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models.