AI/Machine Learning Engineer

Statistica AI; United States; Remote; USD 100,000 - 720,000; Full time

Job summary

An innovative startup is seeking a passionate AI/Machine Learning Engineer to join their remote team. This role focuses on developing cutting-edge AI frameworks and fine-tuning large language models, enabling better financial decision-making. As part of a dynamic team, you'll analyze complex data sets and contribute to revolutionary financial intelligence solutions. If you're eager to leverage your skills in a collaborative environment and make a significant impact in the financial sector, this opportunity is perfect for you!

Qualifications

• Strong skills in AI frameworks and fine-tuning models.
• Bachelor's or Master's in relevant fields required.

Responsibilities

• Develop and implement AI frameworks and fine-tune models.
• Analyze complex data sets and collaborate with teams.

Skills

Large Language Models fine-tuning

Agentic Frameworks

Computer Science

Developing Algorithms

Statistics

Problem-solving

Attention to detail

Experience in finance data

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Engineering degree

Job description

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Statistica AI is a US-based startup aimed at democratizing access to advanced financial intelligence using cutting-edge artificial intelligence. Our founding team, consisting of experts in machine learning, quantitative finance, and economics, saw an opportunity to improve traditional financial analysis tools. Our innovative AI models help investors, analysts, advisors, and financial institutions make better decisions by providing deeper insights and enhanced adaptability. We are at the forefront of using AI to transform financial information analysis and interpretation.

Role Description

This is a full-time remote role for a AI/Machine Learning Engineer. The Machine Learning Engineer will be responsible for developing and implementing AI agentic frameworks and fine tuning AI models, focusing on large language models. Daily tasks will also include analyzing and interpreting complex data sets, collaborating with cross-functional teams, and contributing to innovative financial intelligence solutions.

Qualifications

• Strong skills in Large Language Models fine-tuning
• Strong skills in Agentic Frameworks
• Expertise in Computer Science and experience with developing Algorithms
• Proficiency in Statistics
• Excellent problem-solving skills and attention to detail
• Ability to work independently and collaboratively in a remote setting
• Relevant experience in finance data or data science is a plus
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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