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You will be updated with latest job alerts via emailWorkato transforms technology complexity into business opportunity. As the leader in enterprise orchestration Workato helps businesses globally streamline operations by connecting data processes applications and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time driving efficiency and agility.
Trusted by a community of 400000 global customers Workato empowers organizations of every size to unlock new value and lead in todays fast-changing world. Learn how Workato helps businesses of all sizes achieve more at .
Ultimately Workato believes in fostering a flexible trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But we also believe in balancing productivity with self-care. Thats why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley please submit an application. We look forward to getting to know you!
Also feel free to check out why:
Business Insider named us an enterprise startup to bet your career on
Forbes Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Quartz ranked us the #1 best company for remote workers
We are seeking a motivated Data Science Intern to join our team and work at the forefront of Large Language Model (LLM) technology. This role offers hands-on experience with cutting-edge AI technologies while contributing to real business solutions through rapid experimentation and analysis.
In this role you will also be responsible to:
Design and implement proof-of-concept (POC) projects using state-of-the-art LLMs (GPT-4 Claude Gemini open-source models)
Conduct rapid experiments to evaluate LLM capabilities for various business use cases
Perform initial data analysis and feasibility assessments for business-related tasks
Create documentation and presentations to communicate findings to technical and non-technical stakeholders
Collaborate with the data science team to identify opportunities for LLM integration
Strong programming skills in Python
Basic understanding of machine learning concepts and natural language processing
Experience with Jupyter notebooks and version control (Git)
Excellent analytical and problem-solving skills
Hands-on experience with LLM APIs (OpenAI Anthropic Hugging Face)
Familiarity with prompt engineering and LLM fine-tuning concepts
Knowledge of deep learning frameworks (PyTorch)
Experience with cloud platforms (AWS Azure)
Previous projects or coursework involving transformers or language models
Active participation in ML/AI communities (Kaggle research papers blogs)
Required Experience:
Intern
Intern