
Supply Chain Resilience Specialist
5 days ago
We are seeking a talented individual to join our research team as a Supply Chain Resilience Expert. As a key member of our team, you will play a crucial role in developing and coding Agents using state-of-the-art Large Language Models (LLMs) with automated pipelines.
Your primary responsibilities will include writing code for machine learning engines and micro-services pipelines, optimizing and training GPT models, and researching Agentic pipelines using LLMs.
You will work on exciting projects that combine Artificial Intelligence (AI), Natural Language Processing (NLP), and machine learning to create innovative solutions for supply chain resilience.
This is an exceptional opportunity to make a meaningful impact in the field of AI and NLP, and contribute to the development of cutting-edge technologies that can help companies proactively manage disruption risks.
In this role, you will have the opportunity to work closely with our team of passionate individuals who are committed to making a difference in the world.
We believe in idea meritocracy, where the best ideas win, and drivers not passengers, where everyone takes ownership and responsibility for their work.
- Key Skills:
- - Strong programming skills in languages such as Python or Java
- - Experience with machine learning and deep learning techniques
- - Familiarity with large language models and natural language processing
- - Excellent problem-solving skills and attention to detail
What We Offer:
- - A dynamic and supportive work environment
- - Opportunities for professional growth and development
- - Collaborative team environment
- - Flexible working hours
Requirements:
- - Bachelor's degree in Computer Science or related field
- - 1-2 years of experience in software development or research
- - Strong analytical and problem-solving skills
About Us:
We are a team of passionate individuals who are committed to making a difference in the world. Our mission is to help companies proactively manage disruption risks using integrated data. We believe this is the key to ensuring security and sustainability in the face of uncertainty.
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