AI and Data Science Engineer (Undergrad/Grad)

Job Title: AI and Data Science Engineer (Undergrad/Grad)

Location: Boston, MA

Job Type: Contract

Duration: 12 Months

Position Summary:-

Are you passionate about using AI and data science to solve real-world problems? We're seeking a talented and innovative AI and Data Science Engineer to join our team and push the boundaries of what's possible! Machine learning and LLMs impact on Higher Education continues to expand each day. Pearson is looking for a data scientist to help harness this growing field to benefit university students and instructors. This individual will participate in the planning, design, development, and implementation of solutions to provide the optimal learning experience for our customers. Our data scientists work on solutions which improve the efficiency of instructors and increase student engagement, comprehension, and personalized learning experiences.

Responsibilities:
Collaborate with cross-functional teams to build new solutions for students and instructors in Higher Education using your expertise in deep learning and other machine learning models and algorithms.
Continuously learn, explore, and provide insights into the latest tools and practices in artificial intelligence so we can innovate new ways of teaching and assessing university level material.
Evaluate and fine tune the performance, cost and efficacy of different models and solutions to achieve the highest quality standards for our customers.
Make a lasting, positive impact on the educational outcomes of our customers.
Be a trustworthy steward of our customers data.
Document findings and present technical concepts effectively
Requirements:
0-2 years of experience of deep-learning and Language Model Middleware (LMM) technologies, know how to evaluate similarity search and LMM outputs, and conduct prompt engineering, token optimization, and evaluate system efficacy.
In-depth understanding of LLM technologies and their applications in natural language processing.
Experience with data preprocessing, data augmentation, and data quality assessment.
Proficiency in using and fine-tuning state-of-the-art deep learning models, such as
transformer-based architectures (e.g., BERT, GPT, T5).
Strong programming skills in Python and proficiency with relevant libraries and frameworks
(e.g., TensorFlow, Pandas, PyTorch, SciPy, scikit-learn, JAX)
Knowledge of ethical AI principles, red-teaming, and responsible AI practices.
Prior experience with prompt engineering and chatbot development is highly desirable.