Data Science Professionals (Computer Vision & Multimodal AI)
Team: Data Science
Location: Istanbul / Maslak
Commitment: Full-time
Workplace Type: hybrid
Responsibilities
- Champion a Data-Driven Culture: Lead initiatives to foster a data-driven mindset across teams, ensuring that decisions are backed by robust data insights.
- Innovate with Image Data: Develop scalable Computer Vision solutions to solve real-world business challenges using advanced techniques, including multimodal approaches (e.g., vision-language models).
- Explore Cutting-Edge Techniques: Research and apply the latest developments in image similarity, object detection, segmentation, and beyond to keep us at the forefront of technology-
- Bridge Machine Learning and Business Needs: Translate complex business challenges into machine learning solutions, particularly in areas like image search, recommendation systems, and catalog/content moderation.
- Collaborate Cross-Functionally: Work with business, product, and technical teams to harness the power of data for meaningful solutions that deliver measurable results.
- Synthesize Insights into Strategy: Transform data-driven insights into actionable strategies that shape our business approach.
Expected Qualifications
- Bachelor's or Master's Degree in Engineering, Computer Science, Statistics, or related fields.
- 3+ years of hands-on experience in Computer Vision and/or NLP with a proven track record, ideally with some exposure to search, recommendation, or catalog/content moderation applications.
- Proficient in Python and SQL for data analysis and model building.
- Expertise in deep learning toolkits
- Strong theoretical foundation in Computer Vision and Machine Learning, with a deep understanding of core concepts, algorithms, and principles in the domain.
- Specialization in Computer Vision: Deep expertise in image similarity, object detection, and segmentation.
- NLP Knowledge: Strong theoretical foundation in Natural Language Processing (NLP) with hands-on experience applying NLP techniques to complement multimodal approaches.
- Production-Scale Experience: Familiarity with large-scale, production-level machine learning pipelines for image processing and multimodal applications.
- Multimodal Model Knowledge: Familiarity with multimodal approaches (e.g., vision-language models) is highly desirable.
- Research Acumen: Ability to track, analyze, and implement the latest trends and research in Computer Vision and/or NLP.
- Communication Skills: Excellent verbal and written communication in English, with the ability to simplify complex technical concepts for non-technical stakeholders.
- Research and development skills on deep learning products for mobile commerce and ad-tech
- Excellent written and verbal communication skills in English
- Experience with mobile commerce or self-service business models is a big plus
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