Middle/Strong Middle ML Engineer

Requirements

Overall:
Strong knowledge of Python, TensorFlow or PyTorch.
Bachelor's degree in Computer Science (or related field).
Experience with Machine Learning, Gen AI and Computer Vision.
Experience with python web services.
Experience with cloud ML deployment.
Strong understanding of model training, evaluation, and optimization.
Experience with AWS or GCP or Azure

LLM:
Experience with LLAVA or ChatGPT or LLAMA or Gemini.
Fine-tuning open-source LLMs.
Deploying open-source LLMs.
Familiar with agents.

Computer Vision:
Expertise with tracking, keypoint/pose estimation, action recognition, and depth estimation.
Experience in image and video processing using OpenCV.
Hands-on experience with YOLO and Transformer-based architectures for vision tasks.

Will be a plus:
Data Version Control for Big Datasets.
Optimizing models for edge devices.
C++, Java knowledge a plus

Other:
Ability to multi-task, organize, and prioritize work effectively.
Upper Intermediate or higher level of English proficiency.

What We Offer:
- Competitive salary based on experience and skills.
- Flexible working hours and the possibility to work remotely.
- Opportunities for professional growth and career advancement.
- Friendly and collaborative team environment.
- Access to the latest technologies and tools.