Ensono

Ensono

Ensono provides comprehensive hybrid IT solutions and governance, enabling businesses to navigate complexity and modernize their technology infrastructure, from cloud services to mainframe systems, tailored to each client's unique journey.

IT Services
1K-5K
Founded 1969

Description

  • Gain practical experience on end-to-end AI/ML projects in enterprise environments.
  • Contribute to solutions that support Ensono’s clients.
  • Work with hybrid cloud and modern data platforms.
  • Learn from mentorship provided by senior data scientists and engineers.
  • Participate in Ensono’s internship-to-rotational-program pathway.
  • Work across different departments through the broader 12-month rotational structure if selected for full-time continuation.

Requirements

  • Pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field, with 3rd-year status or pursuing a master’s degree.
  • Experience with Python or R.
  • Familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Understanding of supervised and unsupervised learning, regression, classification, clustering, and model evaluation techniques.
  • Experience with data visualization tools such as matplotlib, seaborn, Tableau, or Power BI.
  • Strong analytical, problem-solving, and communication skills.
  • Interest in cloud platforms such as AWS, Azure, or Google Cloud.
  • Interest in MLOps.
  • Ideal candidate should graduate by December 2026 and be interested in full-time opportunities after the internship ends.

Benefits

  • Paid 12-week internship program running from May 18th to August 7th, 2026.
  • Potential to lead to a part-time or full-time position at Ensono.
  • Entry point into a 12-month rotational program.
  • Opportunity to gain experience in different departments through 3-month rotations.
  • Mentorship from senior data scientists and engineers.
  • Current pay scale estimated at $20.00/hr based on a full-time schedule.
  • Accommodation support during the application or interview process.

Interested in this position?

Apply directly on the company website

Apply Now

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