Full Stack Development Work From Home Internship

Actively hiring
Full Stack Development
Start Date
Starts immediatelyImmediately
Duration
3 Months
Stipend
₹ 5,000-15,000 /month
APPLY BY
18 May' 24
Posted 2 weeks ago
International
Internship

About the work from home job/internship

Selected intern's day-to-day responsibilities include:

1. Training and fine-tuning state-of-the-art LLMs using techniques like few-shot learning and domain adaptation
2. Evaluating LLM performance through metrics like perplexity, BLEU scores, and human evaluation, as well as addressing potential issues like biases and hallucinations
3. Analyzing and exploring large text datasets to identify patterns, trends, and use cases for LLM applications, ensuring data quality and relevance
4. Learning and professional development through code reviews, training sessions, workshops, and knowledge-sharing initiatives within the team
5. Collaborating with cross-functional teams, such as researchers, product managers, and software engineers, to integrate and deploy LLM-based applications effectively
6. Collaborating with senior engineers on data pre-processing and model architecture development
6. Communicating complex technical concepts clearly, both in written and verbal form, to diverse audiences within the organization

Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can work from 10:30 am - 6:30 pm Indian Standard Time (as the company is based outside of India & their local work timings are 7:00 am - 3:00 pm India Standard Time)

3. can start the work from home job/internship between 4th May'24 and 8th Jun'24

4. are available for duration of 3 months

5. have relevant skills and interests

Other requirements

1. Masters, graduates, or students in computer science, machine learning, artificial intelligence, or a related field.

2. A solid grasp of programming languages, particularly Python, and libraries like NumPy, Pandas, TensorFlow, and PyTorch.

3. Familiarity with machine learning concepts and algorithms, including large language models, deep learning, and natural language processing.

4. Knowledge of code version control, debugging, testing, and deployment to ensure scalable and maintainable codebases.

5. Understanding of Machine Learning Operations (MLOps) practices, such as continuous integration and deployment (CI/CD) for machine learning models, to effectively manage the lifecycle management of machine learning systems.

6. Conceptual understanding of distributed & scalable cloud storage, compute & ML services. Bonus if the candidate has implementation experience leveraging services from at least one cloud services provider (AWS, Google Cloud, Azure).

7. A solid grasp of neural network architectures like CNN, RNN, and sophisticated models leveraging Transformer architectures like BERT, GPT, Claude, etc.

Number of openings

2

About Uplyft (Singapore, Singapore)

At uplyft.ai, we are revolutionizing the retail industry with our cutting-edge, ground-up AI platform. Our mission is to solve the "choice paradox" faced by consumers, empowering them to make informed and efficient purchasing decisions through the power of AI. We are at the forefront of developing sophisticated conversational search functionalities powered by large language models (LLMs).
Activity on Internshala
Hiring since May 2024
1 opportunity posted
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