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Senior Software Engineer

3 weeks ago


Taguig, National Capital Region, Philippines Samsung Electronics Full time

Company Overview:

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Samsung Electronics is a global leader in technology, committed to innovation and excellence. We offer a dynamic and collaborative work environment, with opportunities for professional growth and development.

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About the Job:

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We are seeking a highly skilled Machine Learning Engineer to join our team at Samsung Electronics. As a Machine Learning Engineer, you will be responsible for requirement analysis, identification of timelines and deliverables, technical documentation and reporting, technical decision-making along with the team specialists, people management and performance evaluation for members, verification of task completion and release management, and research new approaches, solutions, and architectures that can contribute to the project's improvement and evolution.

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Responsibilities:

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  1. Requirement Analysis: Identify project requirements, develop detailed project plans, and manage project timelines and deliverables.
  2. Technical Documentation: Create high-quality technical documentation, including design documents, test plans, and implementation guides.
  3. Technical Decision-Making: Collaborate with team specialists to make informed technical decisions that drive project success.
  4. People Management: Lead and mentor team members, providing guidance and support to ensure project success.
  5. Verification of Task Completion: Ensure timely completion of tasks and verify quality of work.
  6. Release Management: Plan and execute software releases, ensuring seamless deployment and minimal downtime.
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Requirements:

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  • Experience in working in or leading a data engineering project using Python-based tools.
  • Python and popular libraries (Pandas, NumPy, Multiprocessing, etc.).
  • Data Visualization Tools (Dash, Seaborn, Web frameworks).
  • Hands-on experience working in data warehousing, data architecture, and/or data engineering environments at an enterprise scale.
  • ETL design, implementation, and maintenance.
  • Experience implementing and working with workflow schedulers like Airflow, Azkaban, Oozie, etc.