ML Research Scientist

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

AryaXAI is revolutionizing the field of AI by building explainable safe and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers engineers and organizations to unlock the full potential of AI while maintaining transparency and safety.

Our team thrives on a shared passion for cutting-edge innovation collaboration and a relentless drive for excellence. At AryaXAI everyone contributes hands-on to our mission in a flat organizational structure that values curiosity initiative and exceptional performance.

As a research scientist at you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You will become a part of the unique atmosphere where startup culture meets research innovation with key outcomes of speed and reliability.

Responsibilities

Youll work on advanced problems related to ML explainability ML safety and ML alignment.
Youll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges.
Create new techniques around ML Observability & Alignment.
Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable.
Create and maintain technical and product documentation.

Qualifications

Has a solid academic background in concepts of machine learning and deep learning.
Hands-on experience in working with deep learning frameworks like Tensorflow Pytorch etc
Enjoys working on various DL problems that involve using different types of training data sets - textual tabular categorical images etc
Comfortable deploying code in cloud environments/on-premise environments.
Strong fundamentals in MLOps and productionising ML models.
Prior experience on working on ML explainability methods - LRP SHAPE LIME IG CEM etc.
2 years of hands-on experience in Deep Learning or Machine Learning.
Hands-on experience in implementing techniques like Transformer models GANs Deep Learning etc.

Responsibilities

Youll work on advanced problems related to ML explainability ML safety and ML alignment.
Youll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges.
Create new techniques around ML Observability & Alignment.
Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable.
Create and maintain technical and product documentation.

Qualifications

Has a solid academic background in concepts of machine learning and deep learning.
Hands-on experience in working with deep learning frameworks like Tensorflow Pytorch etc
Enjoys working on various DL problems that involve using different types of training data sets - textual tabular categorical images etc
Comfortable deploying code in cloud environments/on-premise environments.
Strong fundamentals in MLOps and productionising ML models.
Prior experience on working on ML explainability methods - LRP SHAPE LIME IG CEM etc.
2 years of hands-on experience in Deep Learning or Machine Learning.
Hands-on experience in implementing techniques like Transformer models GANs Deep Learning etc.