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AI/ML Engineer

Infotree Global Solutions
Posted 6 months ago, valid for 21 days
Location

Capon Bridge, Hampshire County 26711, WV

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are looking for an Applied AI Researcher to join our Applied Artificial Intelligence Research team.
  • The role involves contributing to various AI/ML domains and addressing challenges in machine learning systems within the financial sector.
  • Candidates should possess a Master's or Ph.D. degree in relevant fields and have at least 4 years of industry experience.
  • The position requires proficiency in programming languages such as Python, C#, and Java, along with experience in software development for quantitative investment workflows.
  • Salary details are not specified in the job description.

1.      AI role JD:

 We are seeking an Applied AI Researcher to join our dynamic Applied Artificial Intelligence (AI) Research team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm. 

In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems within the financial domain. Join us in redefining the boundaries of what's possible in the intersection of quantitative research and artificial intelligence!

 

Your responsibilities will include:

  1. Collaborating effectively with colleagues to advance production machine-learning systems and applications.

  2. Conceptualizing, experimenting with, and assessing AI/ML-based software systems.

  3. Developing, testing, and maintaining high-quality, production-ready code.

  4. Demonstrating technical leadership by taking charge of cross-team projects.

  5. Creating libraries and frameworks that underpin reliable and testable systems.

Qualifications we seek:

  • A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.

  • A minimum of 4 years of industry experience that demonstrates your expertise.

  • Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.

  • Proficiency in contemporary programming languages like Python, C#, Java.

 




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