Head of ML Research And Development

1 week ago

Mumbai, Maharashtra, India Arya Full time
is one of the first deep learning startups globally. Vinay and Deekshith from IIT Bombay started it in 2013.

We started off as an open-source tool provider for deep learning in 2015 and are now offering one of the most verticalized AI PasS for Banks, Insurers and Financial Services.

We work with more than 100+ FSI logos across the globe.

We at solve the most important problems in AI adoption, namely, AI explainability, safety, and alignment.

We have gathered a world-class team of Artificial Intelligence researchers with multiple domain expertise in various segments of Deep Learning and machine Learning.

Through our continuous research on complex problems, we have contributed many new advancements to the community.


As the head of ML R&D, 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 join the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability.


Role DescriptionAs the Head of ML Research And Development, you will be responsible for leading and managing the research and development team in Mumbai/remote.

The role will involve overseeing day-to-day ML research and development tasks, collaborating with cross-functional teams, and driving innovation in the field of machine learning.

There is also flexibility for some remote work.

Responsibilities

You'll be ideating, executing, and producing critical research on ML Explainability, ML Safety, and ML Alignment.
Create new techniques around ML Observability & Alignment for various ML techniques.

Publish research papers and write patentsBe the SPOC for the academic relationshipsCollaborate with researchers and MLEs to roll out the features and manage their quality until they are fully stable.

Create and maintain technical and product documentation.


QualificationsStrong background in Computer Science with expertise in Deep Learning, Pattern Recognition, Natural Language Processing (NLP), and Data ScienceDeep understanding and experience in Machine Learning & Deep LearningExperience in leading and managing research and development teamsStrong problem-solving and analytical skillsAbility to work independently and collaboratively in a cross-functional teamExposure to the banking, insurance, or financial services industry is a plus.

Ph.
D. or Master's degree in Computer Science, Machine Learning, or related field5+ yrs of experience in ML Research, Model Risk Management or in applied MLPrior work around ML fine tuning or explainability or model risk management

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