AI Engineer (CV focused)

We are looking for an AI Engineer to design, build, and deploy RAG, NLP, and computer vision models. Key Responsibilities: -Develop and optimize models across LLMs, NLP, computer vision or related AI domains -Design and architect data mining and synthetic labeling pipelines -Preprocess data, perform feature engineering and work with large-scale datasets -Train and evaluate models using PyTorch or TensorFlow -Deploy and monitor models using MLOps tools and cloud infrastructure -Use Docker and container toolkit to train models in containerized environments -Collaborate with backend and product teams to integrate AI capabilities into production systems -Maintain version-controlled, well-documented codebases Requirements: -working with Computer Vision - experience in machine learning or AI engineering -Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow) -Solid understanding of ML fundamentals: supervised/unsupervised learning, deep learning, optimization, and evaluation metrics -Experience with MLOps tools (MLflow, Kubeflow, or SageMaker) -Familiarity with cloud platforms for model training and serving (AWS Lambda or similar) -Experience with Docker for containerized model training -Version control with Git and collaborative development practices -Bachelor's degree in Computer Science, AI, Data Science, or related fields. Good to Have: -Experience with vector databases (Qdrant, Weaviate, Pinecone) -Knowledge of model quantization, distillation, or fine-tuning techniques -Familiarity with Kubernetes for model serving at scale -Experience building synthetic data or annotation pipelines Send your CV by email to contact@mc.uz or by Telegram to @@AI_11w