Intern, Data Scientist

Beschreibung:

Job Requisition ID #

24WD82800

Position Overview
(COMPANY NAME) customers make sense of the world through rich streams of data that might include 3D scans of buildings, fluid dynamic simulations, daily notes on the construction site, trends on product usage and more. As a Data Scientist Intern, you will get to apply your knowledge in AI, Data engineering, work with the latest Machine learning models, contribute to the next generation applied AI applications and make an impact by helping our customers create a better, safer, more sustainable world.

Responsibilities
* Apply AI/ML models over large-scale data to uncover key business trends and opportunities.
* Translate insights into actionable recommendations, effectively guiding business strategy through clear communication with cross-functional teams.
* Apply AI/ML based algorithms to build classic data science applications like personalization, recommendation systems etc.
* Develop, prototype, and deploy large language models by leveraging large scale using AWS Cloud Services.
* Develop applied AI/ML based applications that integrate data from a wide variety of sources such as relational databases, AWS, data virtualization tools
* Analyze and preprocess large datasets for model development, including data cleaning, feature engineering, and exploratory data analysis (EDA).
* Optimize the efficiency, scalability, and robustness of deployed AI/ML models, ensuring they perform reliably & cost efficiency under various conditions and can handle growing data demands.
* Understand technology operations data from many different sources in detail to create these models
* Optimize workflows and scripts on data lake for data cleaning, processing, and transformation
* Extract and derive useful metrics and KPIs from raw data gathered from multiple data sources

Minimum Qualifications
* Pursuing a master's in computer science or data science in Canada.
* Hands-on experience in AI and LLM development in a real-world business environment.
* Familiarity with various statistical and machine learning techniques including classification, regression, dimension reduction, regularization, clustering and various multivariate methods
* Familiarity with relational data modeling and SQL
* Familiarity with Snowflake or comparable Data Warehouse and ETL tooling like Astronomer/Airflow and DBT.
* Experience working in an AWS environment and leveraging its offerings such as EC2, S3, Lambda, Glue, Athena, SageMaker etc.
* Strong programming skills in Python & associated libraries for AI/ML
* Strong programming experience in LLM application development

Preferred Qualifications
* Experience with fine-tuning large language models
* Knowledge of MLOps practices for efficient model deployment and scaling.
* Strong communication skills and the ability to convey technical concepts to non-technical audiences.
* Experience with version control (Git/GitHub) and working in collaborative coding environments.
* Be self-motivated, creative and collaborative

About the Canada Intern Program

The 2025 Canada Internship program runs for 16 weeks ( May 5th - August 22nd). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with (COMPANY NAME)'s Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.

Learn More

About (COMPANY NAME)
Welcome to (COMPANY NAME)! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at (COMPANY NAME) - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency
Salary is one part of (COMPANY NAME)'s competitive compensation package. Offers are based on the candidate's experience, educational level, and geographic location.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.(COMPANY NAME).com/company/diversity-and-belonging