Machine Learning Engineer
Neurona Lab
Keywords
Artificial Intelligence
Cloud Computing
Databases
DevOps
Machine Learning
Systems Integration
Kubernetes
Application Programming Interfaces (APIs)
Artificial Neural Networks
Microsoft Azure
Skills
Machine Learning and AI
Expertise in designing neural networks (CNN) for the medical domain, working with generative models (GANs), and developing AI products from scratch.
Cloud Technologies
Proficiency in cloud platforms like Azure and Kubernetes, deploying AI models into production environments.
Software Development
Experience in developing backend services using Python, integrating various databases, and contributing to open-source packages.
Data Processing and Analysis
Skills in data quality checks, medical image segmentation, and object detection using TensorFlow and PyTorch.
DevOps
Capability in handling DevOps and MLOps tasks, including designing Kubernetes infrastructure and optimizing node sizes.
Database Management
Proficiency in integrating and managing various databases including MySQL, PostgreSQL, MongoDB, and Big Query.
API Development
Experience in dynamic API generation from existing data models and GPT-3 (LLM) integration for platform control.
Expertise in designing neural networks (CNN) for the medical domain, working with generative models (GANs), and developing AI products from scratch.
Cloud Technologies
Proficiency in cloud platforms like Azure and Kubernetes, deploying AI models into production environments.
Software Development
Experience in developing backend services using Python, integrating various databases, and contributing to open-source packages.
Data Processing and Analysis
Skills in data quality checks, medical image segmentation, and object detection using TensorFlow and PyTorch.
DevOps
Capability in handling DevOps and MLOps tasks, including designing Kubernetes infrastructure and optimizing node sizes.
Database Management
Proficiency in integrating and managing various databases including MySQL, PostgreSQL, MongoDB, and Big Query.
API Development
Experience in dynamic API generation from existing data models and GPT-3 (LLM) integration for platform control.
Project history
03/2023
-
Present
Translating scientific research into real-world AI solutions for neurodegenerative diseases prediction. Building AI products from scratch, developing machine learning models for medical applications, and leading AI projects.
09/2022
-
08/2023
AI developer
Forloop.ai
Developed backend services in Python using FastAPI, implemented GPT-3 integration, created dynamic APIs, and worked on database integrations and migrations.
Local Availability
Only available for remote work
