FinSocial Digital systems | AI and Machine Learning Internship | nagpur

4 weeks ago

nagpur, India FinSocial Digital systems Full time

Company: FinSocial Digital Systems

Location: Remote

Duration: 4 months

Type: Unpaid Internship

Hours: Full-time, Monday to Friday, 9 AM to 5 PM

About Us:

FinSocial Digital Systems is an innovative platform revolutionizing finance through AI-driven solutions across various sectors, including traditional and digital assets. Join our team as we build the next generation of AI-powered tools for the financial world.

Position Summary:

We are looking for a passionate AI and Machine Learning Intern proficient in Python and familiar with open-source large language models (LLMs) to assist in developing, fine-tuning, and deploying cutting-edge models for our platform. This is an unpaid, full-time internship that will run from 9 AM to 5 PM, Monday to Friday. Please note: Students will not be preferred for this position, as full-time availability is required. If you are unable to commit to these hours, please do not apply.

Responsibilities:

  • Assist in developing, fine-tuning, and deploying large language models (LLMs) using open-source models like Mistral, LLaMA, Bloom, etc.
  • Work with the Hugging Face ecosystem to experiment with and optimize model performance.
  • Build interactive web applications using Streamlit to demonstrate model outputs and streamline user interactions.
  • Use LangChain to build complex chains and pipelines for large language model applications.
  • Collaborate with the team to integrate AI models into existing pipelines and explore new applications within the financial domain.
  • Contribute to documentation and reports, showcasing your learning and results.

Required Skills and Qualifications:

  • Proficiency in Python: Demonstrable experience with Python, including popular libraries used in machine learning.
  • Familiarity with Open-Source LLMs: Experience working with models like Mistral, LLaMA, Bloom, etc.
  • Proficiency with Hugging Face: Able to navigate and leverage Hugging Face’s libraries, such as Transformers and Datasets, to work with pre-trained models.
  • Streamlit and Ollama Experience: Skilled in using Streamlit for web app development and familiar with Ollama for model management.
  • Familiarity with LangChain: Experience in creating workflows, chains, and pipelines for language models.
  • Analytical Mindset: Strong analytical skills, with the ability to dissect problems, think critically, and apply learned techniques.

Preferred Skills:

  • Prior exposure to deep learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with additional LLM deployment tools and platforms.
  • Experience with prompt engineering for LLMs and understanding fine-tuning techniques.

What You'll Gain:

  • Hands-on experience with state-of-the-art open-source LLMs and ML deployment.
  • Exposure to real-world applications of AI in finance and fintech.
  • Mentorship from seasoned professionals and the chance to work in a collaborative, innovative environment.
  • A strong foundation in deploying machine learning applications, a valuable addition to your portfolio.


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