We are seeking a student with a passion for AI to join our GenAI group, focused on driving product innovation through our AI-powered solutions. This role offers a unique opportunity to work on cutting-edge projects, where you will validate, optimize, and develop LLM, knowledge bases and agentic capabilities that enhance the performance and scalability of our AI platform. This person will be involved in solving complex, real-world challenges while making a tangible impact on the evolution of our AI products. What you’ll do: Optimize, evaluate and refine AI solutions to enhance performance, accuracy, and efficiency Expand training and testing data, leveraging both hand-crafted and automated examples Address challenges in AI architecture scalability and reliability Stay at the forefront of GenAI advancements and best practices
Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
Requirements:
You’ll do It using: Currently pursuing a master’s degree in computer science, Data Science, or equivalent, with at least 2 semesters left to graduation Pursuing thesis in AI \ GenAI fields Accomplished relevant courses such as NLP, Machine Learning, Deep Learning, and Information Retrieval, with GPA of 90 and above Familiarity with RAG pipelines, embedding models, vector databases, and retrieval optimization Proficiency in Python or an equivalent Familiarity with AI tools, frameworks, and ML concepts
Advantages: Completed courses in Prompt Engineering / LLMs Hands-on experience in AI through internships, projects, or research Familiar with GenAI Agents Experience with cloud platforms (AWS, Google Cloud, Azure)
You'll excel by: Strong communication and collaboration skills Having a commitment to thinking like an owner and taking initiative. Being a motivated self-learner and driving innovation and excellence in your work. Being creative and adaptable in your problem-solving skills.
You’ll do It using: Currently pursuing a master’s degree in computer science, Data Science, or equivalent, with at least 2 semesters left to graduation Pursuing thesis in AI \ GenAI fields Accomplished relevant courses such as NLP, Machine Learning, Deep Learning, and Information Retrieval, with GPA of 90 and above Familiarity with RAG pipelines, embedding models, vector databases, and retrieval optimization Proficiency in Python or an equivalent Familiarity with AI tools, frameworks, and ML concepts
Advantages: Completed courses in Prompt Engineering / LLMs Hands-on experience in AI through internships, projects, or research Familiar with GenAI Agents Experience with cloud platforms (AWS, Google Cloud, Azure)
You'll excel by: Strong communication and collaboration skills Having a commitment to thinking like an owner and taking initiative. Being a motivated self-learner and driving innovation and excellence in your work. Being creative and adaptable in your problem-solving skills.
This position is open to all candidates.
