As a Junior Software Engineering Intern you focus on AI and NLP to join our team. The ideal candidate will be passionate about AI and have hands-on experience in implementing NLP models using Python and PyTorch. This position will contribute to the development of advanced NLP applications, including but not limited to word sense disambiguation, text classification, sentiment analysis, POS tagging, tokenization, syntactic parsing, and web crawling.
- Conduct an in-depth literature review to identify and gather pertinent research papers concerning the construction of a Dialogue System integrating LLM (Language Model), Passage Retrieval, and STS (Semantic Textual Similarity).
- Develop an inference process for generating answers, with a particular emphasis on verifying the output produced by the Language Model (LLM) to ensure accuracy and relevance within the context of the Dialogue System development.
- Initiate fine-tuning strategies on optimizing the LLM performance through methodologies such as PEFT+QLoRA and quantization using AutoGPTQ. The objective is to augment the responsiveness and overall efficiency of the Dialogue System.
- Implement Retrieval-Augmented Generation (RAG) within the Dialogue System, leveraging sophisticated techniques to elevate response dynamics and optimize system performance.
Be ALICE:
Adaptability: Quick learner, able to adapt to new technologies and team dynamics.
Leadership: Shows potential for future leadership roles by taking initiative in learning and minor project responsibilities.
Impact: Contributes to project deliverables through effective coding and testing.
Commitment: Engaged in continuous learning and application of AI principles.
Empathy: Maintains a user-focused approach to technology development, ensuring that projects align with user needs.
Key Responsibilities:
Assist in the coding and development of AI projects, focusing on Python and NLP techniques.
Participate in testing and refining AI models under the supervision of more experienced engineers.
Learn and apply new AI methodologies, such as retrieval-augmented generation and fine-tuning of language models.
Engage in team discussions and code reviews, contributing to the collaborative development process.
Support the documentation of AI systems and project outcomes.
Required Skills:
Hands-on experience with LangChain: Python, PyTorch, or Javascript.
Basic understanding of NLP and machine learning concepts.
Experience in handling AI projects, including development, testing, and deployment.
Required soft skills:
You are part of a customer-driven, sprint-based product development process and break down complex tasks into deliverable output (feasibility assessment, shippable feature etc.
Likable, positive and can-do attitude that enables others through collaboration, reliability, mentorship and human sensitivity.
Strong sense of commitment and ownership with a focus on customer-value.
Profound analytical rigor and ability to communicate in a clear and structured manner
Curiosity
Additional Information
You join one of Germany's most promising startups, financed by Germany's most renowned investors.
Work locally in Surat on an exciting SaaS product.
You are an important part of a dynamic team of builders. Together we apply cutting-edge technologies and see their impact unfold.
You will be able to apply and hone your abilities as part of working with excellent and motivated people.
We offer flexible working hours, because we are result-driven.
Generous benefits sich as health care and life insurance
We pay in INR.
Find out more about us:
https://en.top.legal/
https://www.linkedin.com/company/contract-value-management/
