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Machine Learning Intern - Remote

Posted 3 days ago
Software Development
Internship
USA

Overview

As a Machine Learning Intern at Optimspace, you will contribute to the design, development, and deployment of smart algorithms that power data insights and automation, gaining hands-on experience in a collaborative environment.

In Short

  • Collect, clean, and prepare data for machine learning applications.
  • Assist in developing and implementing ML models and algorithms.
  • Conduct experiments to test and improve model accuracy and performance.
  • Extract meaningful insights from large datasets.
  • Optimize models for efficiency and scalability.
  • Support model deployment into real-world systems or products.
  • Document methodologies, findings, and processes.
  • Stay updated on emerging trends, tools, and best practices in ML and AI.

Requirements

  • Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field.
  • Strong grasp of machine learning principles and techniques.
  • Proficiency in Python, R, or Java.
  • Experience with ML libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Solid analytical and problem-solving skills.
  • Ability to work effectively both independently and within a remote team.
  • Strong communication skills and a collaborative mindset.
  • Passionate about continuous learning and innovation in ML/AI.

Benefits

  • Work on innovative, real-world ML projects with real impact.
  • Learn from experienced mentors and data science professionals.
  • Build your technical portfolio with hands-on project experience.
  • Enjoy the flexibility of a fully remote internship.
  • Grow with a forward-thinking company focused on innovation and talent development.
DevLynx logo

DevLynx

Canibuild is a fast-growing SaaS platform that revolutionizes the residential construction industry by automating design, approval, and sales processes. Backed by Australia's largest hedge fund, Canibuild enables clients across Australia, New Zealand, Canada, and the US to quickly determine the feasibility of construction projects on specific plots of land. The company fosters a culture of innovation and collaboration, providing opportunities for professionals to engage in AI-driven data initiatives and modern data engineering practices.

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