ML Engineer

Our client is an international company developing next-generation AI products that combine large language models, generative AI, and computer vision technologies.

We are looking for an ML Engineer who will help the team build intelligent systems for real-world applications, from text understanding to video analysis.
 

What You’ll Do

• Design and implement ML pipelines in Python using TensorFlow or PyTorch.
• Train, evaluate, and optimize models for performance and scalability.
• Deploy AI solutions to cloud environments (AWS, GCP, or Azure).
• Work on language models (adaptation, fine-tuning, deployment, agent-based architectures).
• Contribute to image/video intelligence projects: motion tracking, pose estimation, action recognition, depth modeling.
• Build backend services to integrate ML models into production systems.

Desired Background
 

• Degree in Computer Science or a related field.
• Strong programming skills in Python.
• 3+ years in applied ML, with exposure to GenAI and Computer Vision.
• Understanding of model lifecycle: training → evaluation → deployment.
• Cloud deployment experience (AWS / GCP / Azure).
• Hands-on with OpenCV, YOLO, or modern vision transformers.