Machine Learning Engineer

Global technology and business consulting firm focused on financial services and energy sectors, with 33 offices across Americas, Europe, and Asia-Pacific.
Machine Learning
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AI · Finance

Description For Machine Learning Engineer

Capco is a global technology and business consulting firm specializing in financial services and energy sectors. With 33 offices across the Americas, Europe, and Asia-Pacific, we are passionate about helping our clients achieve their goals through innovative solutions.

As a Machine Learning Engineer at Capco, you'll be working at the intersection of artificial intelligence and business transformation. The role requires a strong foundation in machine learning, natural language processing, and programming, particularly in Python. You'll be responsible for understanding, implementing, and optimizing language models to deliver practical solutions for our clients.

The ideal candidate should have a computer science or related degree, with a strong understanding of machine learning concepts, statistical analysis, and experience with modern AI tools like ChatGPT and Gemini. You'll be working on cutting-edge projects that require both technical expertise and business acumen.

What sets Capco apart is our commitment to an inclusive work environment where you're encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion in all forms are crucial to our success. We believe that everyone brings something unique to the table, and we're excited to learn what makes you different.

Join Capco if you're looking for a dynamic environment where creativity and innovation are valued, and where you'll have the opportunity to accelerate your career while working on meaningful projects in the financial services and energy sectors.

Last updated 13 days ago

Requirements For Machine Learning Engineer

Python
  • Understanding of machine learning concepts
  • Familiarity with AI tools like ChatGPT, Gemini, or other language models
  • Deep understanding of language models and their capabilities
  • Programming skills, especially in Python
  • Natural Language Processing (NLP) knowledge
  • Machine Learning expertise
  • Statistical concepts
  • Computer Science or related fields degree

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