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Role overview

Qualifications

  • 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
  • Excellent communication skills (both verbal and written) in the English language
  • Proficiency in Google sheets/docs, MS Excel, and Google Chrome

Responsibilities

  • Content Creation: Creating questions and answers for mathematics related topics
  • Content Evaluation: Evaluating content on quality parameters like accuracy and relevance
  • Research and Analysis: Conduct in-depth research to ensure accuracy of content
  • Algorithm Development: Design and implement algorithms for optimization and analysis

Key facts

  • Remote from: United States
  • Full time
  • Entry-level / graduate
  • English

Other skills

  • Problem Solving
  • Collaboration
  • Communication
  • Analytical Thinking
  • Detail Oriented
  • Teaching
  • Quick Learning

About the company

Indium Software logo

Indium Software

Artificial Intelligence & Machine Learning Services

Indium is a fast-growing, AI-driven digital engineering services company, developing cutting-edge solutions across applications and data. With deep expertise in next-generation offerings that combine Generative AI, Data, and Product Engineering, Indium provides a comprehensive range of services including Low-Code Development, Data Engineering, AI/ML, and Quality Engineering.

Company details

Company typeLarge
IndustryArtificial Intelligence & Machine Learning Services
Company size1001 - 5000

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Job description

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.



Salary: APCS

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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