Data Scientist, Image Recognition - (Quick Commerce)
AI Summary ✨
Requirements
Bachelor's degree in computer science, information systems, mathematics, statistics, or a related field.
3+ years of professional experience as a Data Scientist focusing heavily on Computer Vision (CV).
Deep expertise in relevant frameworks (e.g., PyTorch, TensorFlow).
Proven experience with Object Detection, Image Segmentation, and Classification.
Experience with model versioning, tracking (MLflow, Weights & Biases), and ensuring models are deployable in production environments (Docker, Kubernetes)
Excellent communication skills, with the ability to clearly articulate complex technical problems and solutions to both engineers and business stakeholders.
Nice to Have
PhD in AI, Machine Learning, or a related field.
Experience integrating ML models into low-latency real-time API services.
Experience in fine-tuning Large Language Models.
Familiarity with cloud platforms (GCP preferred).
Proven ability to design and scale ML systems under strict latency, throughput, and cost constraints, balancing innovation with operational excellence.
What You'll Be Doing
Experiment, and deploy AI/ML models/Agents to automate products images recognition at scale.
Drive experimentation: formulate hypotheses, validate model performance , analyze business impact, and turn insights into production-ready models.
Develop and provide ML models to intelligently recognize products based on their images, extracting product details (like barcode, name), product categorization, etc.
Keep yourself up to date and apply state-of-the-art models (e.g., in NLP, deep learning, control vision, classification, LLMs/AI agents) to see what truly works best for us.
Collaborate closely with MLEs and Engineers to ensure solutions are scalable, reliable, and fast in production.
Contribute to the long-term vision of products image recognition, while delivering short-term wins that unlock measurable business impact.
Perks and Benefits
🍔 Monthly Glovo credits to satisfy your cravings!
🏊 Discounted gym memberships to keep you energized.
🏖️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!
👪 Enhanced parental leave, and office-based nursery.
🧠 Online therapy and wellbeing benefits to ensure your mental well-being.