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Senior Machine Learning Engineer
2 months ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our client's team at IC Resources. As a key member of the team, you will be responsible for developing and implementing advanced computer vision models, managing large datasets, and ensuring data quality and integrity.
Key Responsibilities- Computer Vision Model Development: Design, develop, and train advanced computer vision models using industry-leading frameworks and tools.
- Data Management: Manage and process large datasets, maintaining data quality and integrity, and ensuring data is accurately processed and stored.
- Pipeline Design: Design and implement robust CI/CD pipelines for machine learning models, ensuring efficient and reliable deployment.
- Performance Optimization: Optimize model performance using CUDA, ensuring high-performance and efficient processing.
- Deployment: Deploy machine learning models into production environments, ensuring scalability and reliability.
- Collaboration: Work with cross-functional teams to integrate machine learning capabilities into products, ensuring seamless integration and effective collaboration.
- Technical Leadership: Provide technical leadership and mentorship to a small team of engineers and data scientists, guiding and supporting their professional development.
- Continuous Learning: Stay updated with the latest developments in machine learning and computer vision, ensuring you remain at the forefront of industry advancements.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Technical Expertise: 3+ years' industry experience in developing and training computer vision models.
- Programming Skills: Strong programming skills in Python and experience with machine learning frameworks such as PyTorch.
- Data Handling: Familiarity with data handling and processing, including data quality and integrity.
- Pipeline Knowledge: Familiarity with CI/CD pipelines for machine learning models.
- Performance Tools: Proficiency in using performance optimization tools like CUDA.
- Competitive Salary: A competitive salary package, including additional benefits.
- Work-Life Balance: A hybrid working model with flexibility, allowing you to maintain a healthy work-life balance.
- Career Growth: Opportunities for professional development and growth in a dynamic environment.
