
Data Systems Architect
2 weeks ago
We're at a critical juncture where supply chain disruptions threaten the very fabric of our lives. These issues are becoming increasingly frequent and severe, impacting essential goods like food, personal protective equipment, medicine, and more.
Our mission is to empower organizations to proactively manage disruption risks using integrated data.
About UsIn response to the COVID-19 pandemic, a group of academics, data scientists, students, and software engineering volunteers came together to address the pressing issue of food shortages. This collaborative effort led to the formation of a startup, which has since grown into a team driven by a passion for private sector innovation.
We've secured investment from reputable organizations, including a leading supply chain quality and compliance monitoring company, as well as impressive angel investors.
Social ImpactSocial responsibility is deeply ingrained in our DNA. We believe that addressing social problems at scale requires innovative solutions from the private sector. If we succeed in our mission, humanity will always have access to essential goods.
CultureWe foster an idea meritocracy where the best ideas take center stage. Constructive tension drives growth, but it's never personal. Everyone contributes to better ideas, knowing they'll be heard and challenged.
We think like owners who drive progress, not passengers. We're self-starters, hungry for autonomy, trust, and responsibility. Everyone is a leader because leadership is a trait, not a title.
We figure out answers with logic, connecting the dots without needing all the information. Our customers are heroes, and we're obsessed with helping them resolve their biggest headaches and advance their competitiveness.
Job OpportunityAs a member of our research team, you'll focus on researching, developing, and coding Agents using state-of-the-art large language models with automated pipelines.
- Write code for machine learning engines and micro-services pipelines.
- Use, optimize, train, and evaluate GPT models.
- Research and develop Agentic pipelines using LLMs.
- Research and develop RAG-based pipeline using vector databases.
Essential Requirements:
- Prompt engineering and Agentic LLM frameworks.
- Good understanding of vectors/tensors and RAG pipelines.
- Knowledge of building NLP systems using transfer learning or custom systems from scratch with TensorFlow or PyTorch.
- In-depth knowledge of data structures, asynchronous programming, Python, and containers.
- Transformers and NLP techniques are essential; deployment experience is an advantage.
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