Classification: Intern

Practice: AI

Location: Remote/Hybrid

Description

As a ML Developer Intern you will work closely with the ML Developers and Senior ML Engineers to build AI/ML/GenAI solutions. You will be working with the team to develop innovative solutions in artificial intelligence to resolve concrete and complex business challenges. You will have an inquisitive and strategic mindset, always looking for the recent but with an applied focus of solving business problems with technology solutions using an Agile approach.

You will be customer oriented and a team player to keep up with BIG’s long tradition of being a team of highly experienced specialists that customers love to work with because they feel like one of their own.

Responsibilities​
Translate business needs into AI/ML and GenAI solutions
Build AI/ML models using accepted best practices​
Keep up-to-date with the latest developments in AI/ML
Work with data engineers and assist in data acquisition, preparation and cleansing from various sources​
Assess model performance and reliability​ and make tradeoffs against quality metrics




Prepare reports and presentations on results​
Prepare data visualisation front-ends as required to communicate insights from the model
Use a software engineering approach to build AI/ML solutions that can be effectively operationalized and run in a reliable manner to serve the needs of critical business workflows

Qualifications​
A student or recent grad in Computing Science, Mathematics, Physics, Engineering or related​
Prior experience in development of machine learning solutions, including NLP, Computer Vision, Generative AI, Time Series
Knowledge and experience with relevant program languages and tools like Python, PyTorch and Scikit-learn​
Eager to research and learn current topics and technologies​
Nice to have knowledge
Hyperscaler environments, like Microsoft Azure, Amazon AWS, Google GCP, etc. and the associated ML/AI suites
Databricks
Vector Databases, Retrieval Augmented Generation and Large Language Models is an asset

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