Machine Learning Developer
(1+ year)

Job Summary

We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will play a crucial role in developing and implementing cutting-edge machine learning models and algorithms. Your expertise will contribute to the advancement of our technology solutions, ensuring that our products remain at the forefront of innovation. The successful candidate will have a solid background in machine learning, a passion for staying updated on the latest industry trends, and a proven track record of delivering impactful results.

Require Skills

  • Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • 1+ years of hands-on experience in machine learning engineering.
  • Proficient in languages such as Python, Java, or C++, and experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong skills in data preprocessing, cleaning, and analysis.
  • Proven ability to design, implement, and optimize machine learning algorithms and models.
  • Familiarity with deep learning techniques and architectures.

Key Responsibilities

  • Design, implement, and optimize machine learning models that address specific business challenges and objectives.

  • Develop and implement data preprocessing pipelines to ensure the availability of clean and relevant data for training and testing machine learning models.

  • Continuously optimize and improve existing machine learning algorithms for enhanced performance and efficiency.

  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to integrate machine learning solutions into our products and services.

  • Evaluate the performance of machine learning models using appropriate metrics and propose improvements based on analysis.

  • Stay informed about the latest advancements in machine learning and artificial intelligence and apply new methodologies to enhance our technology stack.

  • Maintain comprehensive documentation for machine learning models, algorithms, and processes to facilitate collaboration and knowledge transfer.

  • Conduct and participate in code reviews to ensure best practices, code quality, and adherence to company coding standards.

  • Troubleshoot and resolve issues related to machine learning models in a timely and efficient manner.

  • Actively engage in continuous learning and professional development to stay abreast of emerging technologies and industry trends.

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Employee Benefits

  • Flexible work schedule

  • Rapid skill acquisition & training

  • Involvement in emerging tech areas like Blockchain, AI, and Metaverse

  • Equal growth opportunities

  • 18 Paid Leave

  • 5 days working

  • Comprehensive technical training covering coding to architecture

  • Direct client engagement on a global scale

  • Annual salary enhancements

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