Lead AI Engineer - Computer Vision

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

We are seeking a Senior Data Scientist to contribute to our next level of growth and expansion.

What is this position about?

This role is focused on designing, developing, and deploying advanced Computer Vision and multimodal AI solutions for real-world business problems. The Senior Data Scientist will work end-to-end, from data exploration and model development to production deployment, collaborating with cross-functional teams and clients across LATAM.

You can work remotely, or you’re welcome to join our offices if you’re based in Colombia or Uruguay.

• Design, develop, and deploy end-to-end Computer Vision solutions using classical and deep learning approaches.

• Build and optimize models for image classification, object detection, segmentation, and OCR/document understanding.

• Apply CNN architectures (e.g., ResNet, EfficientNet, ConvNeXt) and Vision Transformers (ViT, Swin), including transfer learning and fine-tuning strategies.

• Collaborate on data annotation strategies, data augmentation pipelines, and approaches to handle imbalance, noise, and domain shift.

• Evaluate model performance using appropriate metrics (mAP, IoU, Dice, ROC) and perform detailed error analysis.

• Implement model explainability and interpretability techniques such as Grad-CAM and saliency maps.

• Optimize models for production environments, including quantization, pruning, and inference optimization (real-time vs batch).

• Work closely with engineering teams on MLOps practices: monitoring drift, data lineage, and retraining loops.

• Contribute to multimodal and GenAI initiatives, including vision-language models, vision in RAG systems, and image-based prompting.

• Ensure ethical AI practices, considering privacy, PII, dataset bias, and regulatory constraints.

• Strong foundations in Computer Vision, including image formation, color spaces, and geometry.

• Solid understanding of classical CV methods (filters, edge detection, feature extraction – conceptually).

• Hands-on experience with deep learning for vision and modern architectures.

• Experience working with production ML systems and MLOps best practices.

• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.

• Strong problem-solving skills and ownership mindset.

• Experience mentoring or guiding junior team members is a plus.

 

What about languages?

Advanced English proficiency is required for effective communication with international teams and stakeholders.

Our perks and benefits:

🍔 Every day lunches! (headquarters):

• Vegetarian, vegan, gluten and sugar free options.
• Gourmet meals every Friday with our on-site chef!

⚖️ Flexible working options to help you strike the right balance.

👨🏽‍💻 All the equipment you need to harness your talent (Macbook and accessories).

☕ Snacks and beverages available everyday (headquarters).

🎮 After office events, football, tennis and game nights (headquarters).

⚽️ Everyone is welcome to join our football league every Wednesday’s and Friday’s.

Challenge your teammates to a pool game and win the office’s trophy! Tennis courts available for friendly matches.

Not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!

📚 Learning opportunities:

• AWS Certifications (we are AWS Partners).
• Study plans, courses and other certifications.
• English Lessons.
• Learn from your teammates on our Tech Tuesdays!

👩‍🏫 Mentoring and Development opportunities to shape your career path.

🎁 Anniversary and birthday gifts.

🏡 Great location and even greater teammates!

So what are the next steps?

Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!