Machine Learning and Data Engineering Professional
2 weeks ago
About the Role:
">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.
">Key Responsibilities:
">- Develop and maintain high-quality software components using Python-based tools.
- Design, implement, and maintain data warehouses, data architectures, and data engineering environments at an enterprise scale.
- Collaborate with team specialists to make informed technical decisions that drive project success.
- Lead and mentor team members, providing guidance and support to ensure project success.
- Plan and execute software releases, ensuring seamless deployment and minimal downtime.
Requirements:
">- 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.
About Samsung Electronics:
">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.
">What We Offer:
">- A competitive salary and benefits package.
- Ongoing training and development opportunities.
- A dynamic and supportive work environment.
- The opportunity to work on cutting-edge projects and technologies.
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