Internship/Graduation Assignment:
AI\ML Engineer

Internship/Graduation Assignment: AI\ML Engineer

We’re looking for an AI\ML Engineer Intern

Are you a recent graduate looking to help us be successful with our first steps into the world of eLearning with an internship, or a student in your last year of studies looking for a graduation assignment? Then get in touch!

We welcome students to our team every year, assigning them to real, hands-on client projects that match their interests and supporting them through their graduation assignments.

What do you need?

The ideal profiles we’re interested in are students or recent graduates looking to get experience in Development of an AI model for Legal text. For this role, you will likely have a background in Computer Science or Data Science, or similar, while also having a strong focus on Language.

You should have great communication skills, a passion for the world of development and technology, and love to work as part of a team.

Please send us your cover letter, resume, and recent work samples to apply!

What are you going to do?

Who is XABLU?

Your Profile

• Recent graduate or in your last year of studies
• Want to setup a Legal AI system using GPT-NeoX 20B
• Technology buff
• You have great communication skills
• Want to develop professionally

Your profile

What you will do:

• Research and implement advanced AI/ML models and data pipelines
• Design, build, and test accurate and scalable prediction algorithms
• Develop NLP features and Deep Learning models for content understanding
• Collaborate with engineering team to bring your models to production

You Have:

• Last year Bachelor’s or Master’s degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 1 – 2 years of (assignment) experience in quantitative analytics or data modeling
• Major advantage – DevOps experience: Flask, AWS, Docker, Kubernetes
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques and algorithms, NLP concepts, Transformers.

Nice If You Have experience on a few or more of the following topics:

• Syntactic analysis
• Language generation
• Knowledge and inference
• Reinforcement learning
• Deep learning and representation learning
• Familiar with Transformer models, e.g., T5, GPT.
• Familiar with pytorch