The Role
Create and evaluate mathematics-related content, perform research and algorithm development for ML/LLM applications, solve mathematical problems, and mentor junior team members while collaborating with cross-functional teams.
Summary Generated by Built In
This is a remote position.
Key Responsibilities:
- Content Creation: Creating questions and answers for the given set of mathematics related topics, themes or concepts. It will also involve writing properly worded justifications explaining your approach/thought process for the content created.
- Content Evaluation: Evaluating content on different quality parameters like accuracy, comprehensiveness, relevance, verbosity, etc.
- Research and Analysis: Conduct in-depth research to ensure accuracy of content created and being evaluated.
- Algorithm Development: Design and implement algorithms for optimization, analysis, and machine learning applications.
- Problem Solving: Apply advanced mathematical principles and techniques to solve real-world problems, identify patterns, and make data-driven decisions.
- Collaboration and Communication: Collaborate and communicate with cross-functional teams including engineers, analysts, and program managers to develop innovative solutions like Large Language Models (LLMs), etc.
- Education and Training: Provide guidance and training to junior team members, interns, and stakeholders on mathematical concepts, methodologies, and best practices.
- Continuous Learning: Stay updated with the latest developments in mathematics. attend conferences, participate in workshops, and contribute to academic research.
Requirements
Qualifications:
Education:
Masters or PhD in Mathematics / Finance / Statistics / Physics/ Computer Science / Logic / Probability and Statistics. Freshers or graduates having a maximum of 10 years of work experience after Masters or PhD can also apply.
College:
- Tier 1 colleges only (government or a reputable agency approved tiers to be used)
- Excellent communication skills (both verbal and written) in the English language.
- Proficiency in Google sheets/docs, MS Excel, and Google Chrome.
- Quick learner with respect to the latest technologies, applications, work tools, etc.
- Excellent problem-solving skills, analytical/critical thinking, and attention to detail.
- Effective communication skills with the ability to convey complex mathematical concepts to non-technical stakeholders.
- Prior research experience, publications, or contributions to open-source projects in mathematics are desirable for candidates with advanced degrees.
- Teaching background is preferred.
Skills Required
- Master's or PhD in Mathematics, Finance, Statistics, Physics, Computer Science, Logic, Probability and Statistics
- 0-10 years of work experience after Master's or PhD; freshers may apply
- Graduated from a Tier 1 college (government or reputable agency approved tiers)
- Excellent verbal and written English communication skills
- Proficiency in Google Sheets, Google Docs, Microsoft Excel, and Google Chrome
- Strong problem-solving, analytical/critical thinking, and attention to detail
- Ability to convey complex mathematical concepts to non-technical stakeholders
- Quick learner with respect to latest technologies and tools
- Prior research experience, publications, or open-source contributions (desirable for advanced-degree candidates)
- Teaching background
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The Company
What We Do
Indium is an AI-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative AI, Product Engineering, Intelligent Automation, Data & AI, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact. With 5000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology—driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an AI-first world.
