We are looking for a profile specialized in Data Science and Deep Learning
Role:
The ideal candidate must have a solid theoretical foundation in machine learning and practical experience in training, fine-tuning, and implementing complex Deep Learning models, with a specific focus on:
- Computer Vision (CV): The entire pipeline (classification, object detection, segmentation, generative).
- Linguistic and Multimodal Models: LLM, VLM, AI Agents.
The individual will work within the team to transform complex business problems into innovative and scalable AI solutions.
Activity:
- Industrial Research: Design, train and validate Deep Learning architectures (both custom and SOTA-based).
- LLM & Agents: Working with Large Language Models (LLM), implementing fine-tuning techniques, RAG (Retrieval-Augmented Generation), and developing AI agents.
- Multimodality (VLM): Explore and implement Vision-Language (VLM) models for tasks that combine visual and textual data.
- Model Lifecycle: Manage the entire model lifecycle: from data collection and preprocessing, to training, to rigorous performance evaluation.
- Updating: Keep constantly updated on the latest research papers (e.g. CVPR, NeurIPS, ACL) and translate them into practical business opportunities.
Technical Requirements – Must Have
- Education: Bachelor's degree (preferably Master's or PhD) in Computer Science, Engineering, Statistics, Physics, Mathematics, or a related quantitative field.
-Experience: At least 3 years of practical experience in Deep Learning (not just classic machine learning).
-Core Technology Stack:
- Python: Excellent knowledge and object-oriented programming.
- DL Framework: Deep and proven knowledge of – PyTorch (strong preference) and TensorFlow.
- AI Toolchain: Mastery of the Hugging Face ecosystem (Transformers, Datasets, Diffusers), data versioning, experimental tracking.
- Computer Vision: Experience with libraries (e.g. OpenCV, Pillow) and architectures (e.g. ResNet, YOLO, UNet, Vision Transformers – ViT ).
- NLP/LLM: Experience with Transformer architectures, fine-tuning techniques and RAG (e.g. LangChain , LlamaIndex).
- Engineering & MLOps (Basics):
- Excellent knowledge of Git .
- Experience with Docker for model containerization.
- Familiarity with cloud environments (AWS or Azure).
Technical Requirements - Nice to Have
- Experience in Edge computing (C++, TensorRT)
- Experience with Vector Database.
- Experience in developing “AI Agents”.
- Experience with Generative models.
- Previous experience with advanced MLOps.
- Publications in AI/ML conferences.
- Experience in high-growth startup environments.
Mindset
This is crucial for our team:
Startup mentality: Proactivity, flexibility, and the ability to adapt quickly to change. We're not looking for an executor, but an "owner."
- Problem Solver: Excellent analytical skills and a creative and pragmatic approach to problem solving.
- Autonomy: Ability to work independently, managing one's own priorities and deadlines without the need for micromanagement.
- Intellectual Curiosity: A genuine passion for AI and a desire to continually learn and experiment.
- “Hands-on” approach: The willingness to “get your hands dirty” with data, code, and infrastructure.
- Communication: Ability to communicate complex technical concepts clearly to non-technical stakeholders.
At KEY2 -NTRY we create advanced Computer Vision solutions that enable automatic visual recognition, production process monitoring, image analysis, and intelligent management of visual data, optimizing critical operations in various industrial sectors.
We leverage advanced Deep Learning techniques to develop predictive models, automated decision-making systems, and applications capable of autonomously learning from data, accelerating innovation and competitiveness.
We design and build intelligent IoT devices that collect, process, and transmit data in real time. From advanced sensors to cloud edge computing, we build integrated solutions that improve system control, efficiency, and scalability.
[email protected]
Email subject: Data Scientist (Computer Vision & NLP)
If you haven't found the right job for you, email us at [email protected] and tell us what you'd like to apply for. We're always open to hearing from new talent.
Pursuant to current legislation, this job offer is intended to be open to both genders (Law 903/77). Your personal data will be processed solely for personnel search, selection, and evaluation purposes.
