Data Scientist Computer Vision
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Title
Data Scientist - Computer VisionJob Description
Your role:
The Data Scientist is responsible for ensuring data quality accuracy and reliability through rigorous validation and cleansing techniques driving comprehensive quality control measures working under limited supervision. The role utilizes advanced algorithms and AI participates in end-to-end data mining projects to extract deep insights from complex data sources. The role deploys and tests data science solutions rigorously ensuring optimal performance and seamless integration with enterprise systems. The role maintains robust data pipelines and workflows and leverages big data technologies to support advanced analytics projects.
Youre the right fit if:
7-10 years experience in AI and Data Science field. Masters in computers electronics electrical engineering or PhD in relevant streams
Ability to frame business problems as computer vision and data science tasks (e.g. defect detection OCR surveillance analytics medical imaging diagnostics)
Collect clean label and curate large image/video datasets; design augmentation strategies and manage dataset versioning
Develop train and optimize deep learning models for tasks like image classification object detection segmentation tracking and anomaly detection using frameworks such as PyTorch OpenCV or TensorFlow
Solid understanding of machine learning and deep learning including CNNs modern architectures (e.g. ResNet EfficientNet Unet YOLO transformers for vision) and training best practices.
Apply and combine traditional vision (e.g. filtering feature extraction geometric transforms) with deep models where appropriate.
Evaluate models using appropriate metrics (e.g. mAP IoU precision/recall F1) and run experiments/ablation studies to improve performance and robustness
Experience with cloud platforms (AWS GCP Azure) and version control; familiarity with MLOps tools is often preferred
Excellent understanding of machine learning techniques and algorithmslike k-NN SVM Random Forest privacy modelsetc.
Understandingexploratory data processing techniques such as cleaning and verifying the integrity of data used for analysis
Good appliedstatistics skills such as distributions statistical testing regression etc.
Strong analytical problem solving and communication skills
How we work together
We believe that we are better together than apart. For our office-based teams this means working in-person at least 3 days per week.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters and we wont stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business.
Discover our rich and exciting history.
Learn more about our purpose.
If youre interested in this role and have many but not all of the experiences needed we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
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Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Philips has been revolutionizing lighting for over 125 years. We pioneered the world changing development of electric light and LED, and are now leading the way in intelligent lighting systems. Our deep understanding of how lighting positively affects people, enables us to deliver inn ... View more
