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Role Description
This role involves contributing to the development and fine-tuning of ML models using Python and PyTorch.
Experiment with modern LLMs and generative AI models to solve real product challenges.
Work with a variety of tools and frameworks like Transformers, LangChain, OpenAI API, LlamaIndex, and others for tasks such as classification, generation, and retrieval.
Help build and optimize training scripts, inference pipelines, and evaluation tools.
Conduct literature reviews or repo deep-dives to bring new ideas from the rapidly evolving AI ecosystem into production.
Assist in cleaning, preprocessing, and analyzing datasets.
Work closely with engineers and founders to prototype and test AI-powered features.
Qualifications
Strong programming skills in Python.
Good understanding of machine learning fundamentals (loss functions, metrics, overfitting, etc.).
Some hands-on experience with deep learning libraries (e.g., PyTorch, TensorFlow).
Familiarity with modern NLP and generative AI tools such as Hugging Face Transformers, OpenAI, Claude, LLaMA, LangChain, or similar.
Awareness of ongoing trends in the AI/LLM space and eagerness to explore new tools and models.
Self-motivated and proactive mindset — you're not afraid to explore, experiment, and learn on the go.
Requirements
Bonus: You've worked on AI/ML side projects, GitHub repos, Kaggle competitions, or open-source contributions.
Benefits
Mentorship and direct collaboration with the founding team.
Real-world experience applying AI to product use cases.
Ownership of small but impactful features and experiments.
A fully remote and async-friendly work culture.
Opportunity for long-term collaboration based on performance.