Mid-level AI Engineer/Data Scientist

Tasks

• Collaborate with international teams
• Design and develop deep learning solutions
• Design and develop machine learning capabilities
• Identify and apply AI technologies
• Integrate AI modules with product architectures
• Prototype and test AI systems
• Scouting and propose innovative technologies
• Understand business problems
• Validate and deploy AI models

Perks/Benefits

• Career development
• Hybrid work
• Referral program
• Training programs
• Work-life balance

Skills/Tech-stack

AWS | Agentic AI | CI/CD | CircleCI | Computer Vision | Deep learning | Docker | FastAPI | Fine Tuning | Git | GitHub Actions | Hugging Face | Hugging Face Datasets | Hugging Face Transformers | Knowledge Distillation | Kubernetes | Language Processing | Linux | LoRA | MLflow | Machine Learning | Natural Language | Natural Language Processing | ONNX Runtime | Object Detection | OpenVINO | PEFT | Prompt engineering | Pruning | PyTorch | Python | QLoRA | Quantization | RAG | Retrieval-Augmented Generation | Semantic Segmentation | TensorRT | Transformers | Vision Transformers | Weights and Biases | YOLO