Artificial Intelligence Researcher

Project Bhaskar; Ajmer; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Project Bhaskar in Ajmer is seeking an Artificial Intelligence Researcher to lead end-to-end AI research, from framing questions to evaluating models. You will work on pattern recognition, data analysis, and culturally informed AI systems, collaborating with cross-functional teams and publishing findings.

This hybrid, full-time role offers flexibility to work from home part of the week. The ideal candidate has a strong CS foundation, ML framework experience, and a relevant advanced degree.

Qualifications

• Strong CS foundation: algorithms, data structures, software engineering.
• Pattern recognition and data science for ML model evaluation.
• Experience in research and statistics: experimental design and analysis.
• Python and ML frameworks (PyTorch, TensorFlow).
• Familiarity with AWS and related platforms.
• Ability to work with large datasets and apply preprocessing, modeling, validation.
• Clear written and verbal communication for presenting findings.
• Collaborative, interdisciplinary mindset.
• Advanced degree in CS/DS/Statistics or related field preferred; industry/research valued.

Responsibilities

• Conduct end-to-end research on AI models; frame questions, design experiments, implement prototypes, evaluate performance.
• Develop algorithms for pattern recognition and data analysis; work with large datasets.
• Collaborate with cross-functional teams and publish or document findings.
• Stay current with ML and statistics advances; contribute to internal discussions.
• Assist in designing culturally informed AI systems and reporting results.

Skills

Pattern recognition

Data science

Experimental design

Python

PyTorch

TensorFlow

AWS

Data preprocessing

Communication skills

Interdisciplinary collaboration

Education

Advanced degree

Tools

PyTorch

TensorFlow

AWS

Job description

Company Description

Project Bhaskar is an Indian AI research and innovation lab dedicated to advancing culturally aware artificial intelligence systems. The team connects millennia of reasoning, language, and creativity with cutting-edge AI research to design technology that is inclusive and relevant for diverse communities. Based in Ajmer, Project Bhaskar focuses on foundational research as well as applied projects that can be deployed at scale. The lab values collaboration, intellectual rigor, and interdisciplinary approaches to solving complex AI challenges. Team members have the opportunity to contribute to impactful research that bridges culture, language, and technology for people everywhere.

Role Description

The Artificial Intelligence Researcher will conduct end-to-end research on AI models, including framing research questions, designing experiments, implementing prototypes, and evaluating performance. Day-to-day responsibilities include developing algorithms for pattern recognition and data analysis, working with large datasets, collaborating with cross-functional teams, and publishing or documenting findings in a clear, accessible manner. The role also involves staying current with advances in machine learning and statistics, contributing to internal research discussions, and supporting the design of culturally informed AI systems. This is a full-time, hybrid role based in Ajmer, with the flexibility to work from home for part of the week as project needs allow.

Qualifications

• Strong foundation in Computer Science, including algorithms, data structures, and software engineering practices.
• Demonstrated skills in Pattern Recognition and Data Science for building and evaluating machine learning models.
• Experience in Research and Statistics, including experimental design, hypothesis testing, and quantitative analysis.
• Proficiency in programming languages commonly used in AI (such as Python) and relevant frameworks (e.g., PyTorch, TensorFlow).
• familiarity with AWS and allied platforms is important.
• Ability to work with large, complex datasets and apply appropriate preprocessing, modeling, and validation techniques.
• Clear written and verbal communication skills for presenting research findings to technical and non-technical audiences.
• Collaborative mindset and ability to work effectively in an interdisciplinary environment.
• Advanced degree in Computer Science, Data Science, Statistics, or a related field is preferred; relevant industry or research experience is highly valued.