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Software Engineer II - Machine Learning - Remote

Posted Yesterday
Software Development
Full Time
Serbia

Overview

We are seeking a passionate and skilled Machine Learning Engineer to work on developing and improving our AI-powered solutions.

In Short

  • Train and deploy production-level machine learning models focused on forecasting, anomaly detection, and event prediction.
  • Develop and implement machine learning algorithms, ensuring their scalability, performance, and robustness.
  • Create agentic language model based user experiences.
  • Work with large datasets, process and analyze data using tools like Pandas and Numpy.
  • Use modern deep learning frameworks such as Pytorch to implement and optimize models.
  • Integrate machine learning models into the company’s Time and Attendance and Employee Scheduling software.
  • Collaborate with cross-functional teams to solve complex business challenges through AI/ML solutions.
  • Optimize and fine-tune models for performance in real-world production environments.

Requirements

  • Experience in machine learning and AI development.
  • Proficiency in Python and libraries like Pandas and Numpy.
  • Familiarity with deep learning frameworks such as Pytorch.
  • Ability to work with large datasets.
  • Strong problem-solving skills.
  • Experience in deploying machine learning models in production.
  • Excellent collaboration and communication skills.

Benefits

  • Opportunity to work on cutting-edge technology.
  • Flexible work environment.
  • Supportive and inclusive team culture.
  • Professional development opportunities.
TCP Software logo

TCP Software

TCP Software is dedicated to creating innovative solutions that enhance workforce management and productivity. With a strong commitment to sustainability and environmental stewardship, the company focuses on developing eco-friendly products that align with its values of corporate responsibility. TCP Software aims to make a positive impact on the industry by crafting high-quality, environmentally conscious products, and fostering a forward-thinking team that is passionate about sustainability.

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