Data Science Intern

Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced lab within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problemsin different domains.

How we work?
It's hard to tell what we love more, problems or solutions!Everyday, we choose to address some of the hardest data problems thatthere are. We are in the business of making sense of messy public data on the web. At serious scale!

What do we offer?

• Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you canplaywith!
• Ability to see the impact of your work and the value you're adding to our customers almost immediately.
• Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
• A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
• Learning opportunities with courses and tech conferences. Mentorship from seniors in the team

Who are we looking for?
The ideal candidate is a an enthusiast in software development with experience in Python. Such a candidate has keen interest in understanding the business problem, figuring out a solution, and translating that into an algorithm or model. You like experimenting with new approaches and identifying early what will work. You are expected to develop solutions that are feasibleand moderately optimized. You alsoneed to learn how to build engineering pipelines to deploy your solutions into production atleast at a small scale. You are expected to document yourwork.

We are looking for someone with a Bachelor's or Masterʼs degree in Computer Science or a related field. Knowledge of Machine Learning fundamentals is also desired.

Role and Responsibilities

• Understand the business problems we are solving. Leverage existing solutions. Experiment with new approaches whererequired.
• Work on problems in one of the following areas – NLP, Computer Vision or structured data processing.
• Understand the existing solutions and help improve them.
• Work with the larger Data Science team in sprints.
• Take ownership of the projects you are working on. Seek guidance when necessary.
• Add passion and vibrance to the team. Innovate. Push the envelope.

Relevantset of skills

• Strong in software engineering and code design.
• Adept in Python programming with a good understanding of data structures.
• Familiarity with some of these libraries - Pandas, OpenCV, NLTK, scikit-learn, Tensorflow, etc.
• Experience in API development.
• Hands on experience with various databases is desirable.
• Working knowledge of Azure and AWS platforms is desirable.
• Use the command line like a pro. Be proficient in Git and other essential software development tools.
• It's a huge bonus if you have some personal projects (including open source contributions) that you work on during yourspare time.
• Show off some of your projects you have hosted on GitHub.
• Familiarity with the latest LLMs, transformer-based models (e.g., GPT, BERT), and their applications in NLP.