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Job Description
Machine Learning Intern AhinsaAI
Location: Remote (Bengaluru, India)
About AhinsaAI:
AhinsaAI is the Loyal AI Infrastructure for Banking & Fintech, built on Compliance, Trust & Ethics. We enable the scalable distribution of governed, ethical, and monetizable AIrooted in consent, oversight, and loyalty to enterprise and societal values. Powered by the OML Protocol, we offer a secure and compliant pathway for responsible AI adoption across BFSI
Role Overview
We are looking for a passionate Machine Learning Intern to join our core tech team. Youll work closely with AI researchers, product engineers, and domain experts to build, evaluate, and deploy explainable, privacy-preserving AI agents for mission-critical financial applications.
Key Responsibilities* Assist in training and fine-tuning LLMs (including open-source models like Mistral, Falcon, and LLaMA).
* Support development of vernacular NLP pipelines using tools like Hugging Face, spaCy, and LangChain.
* Work on federated learning, model fingerprinting, and compliance-aware training workflows.
* Run benchmarks, ablation studies, and contribute to improving model robustness and fairness.
* Collaborate cross-functionally to support integration of models into real-world banking/fintech use cases.
Preferred Skills
* Strong fundamentals in machine learning, deep learning, and NLP.
* Hands-on experience with Python, PyTorch/TensorFlow, and popular ML libraries (Hugging Face, scikit-learn, etc.).
* Experience with LLMs, embeddings, vector stores, and agent frameworks is a strong plus.
Looking to get Placed? Try our Placement Guarantee Plan
* Knowledge of data privacy, model explainability (SHAP, LIME), or MLOps is desirable.
* Bonus: familiarity with vernacular language datasets or BFSI use cases.
What Youll Gain
* Exposure to enterprise-grade AI infrastructure for regulated sectors.
* Opportunity to contribute to real-world AI systems powering banks and fintechs.
* Mentorship from experienced engineers, founders, and AI researchers.
* Potential full-time offer based on performance.
Join us in building Loyal & ethical AI for the next billion.
To apply, send your CV to [[HIDDEN TEXT]] with subject: ML Intern [Your Name]
Skills
PythonData PrivacyDeep LearningMachine LearningAiMlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
07 Jul 25, 12:11 PM IST
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