Ready to take AI models beyond experimentation and into production? zehnmind.ai is looking for an experienced AI Engineer to build and deploy end-to-end machine learning solutions. You’ll work across the full ML lifecycle — from data preparation and model training to deployment and monitoring — helping turn advanced AI capabilities into reliable systems for real operational environments What you’ll work on • Develop and optimize models across LLMs, NLP, computer vision and 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 toolkits to train models in containerized environments • Collaborate with backend and product teams to integrate AI capabilities into production systems • Maintain well-documented, version-controlled codebases What we’re looking for • 4+ years of experience in machine learning or AI engineering • Strong proficiency in Python and ML frameworks, including PyTorch or TensorFlow • Solid understanding of supervised and unsupervised learning, deep learning, optimization and evaluation metrics • Experience with MLOps tools such as MLflow, Kubeflow or SageMaker • Familiarity with cloud platforms for model training and serving, including AWS Lambda or similar services • Experience using Docker for containerized model training • Experience with Git and collaborative development practices • Proficiency in English Good to have • Experience with vector databases such as Qdrant, Weaviate or 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 Interested in building AI that moves from experimentation to real-world deployment? Send your CV and relevant portfolio or GitHub links to careers .ai
Xarita yuklanmoqda...
Sizga mos bo‘lishi mumkin bo‘lgan ish eʼlonlari!
Ready to take AI models beyond experimentation and into production? zehnmind.ai is looking for an experienced AI Engineer to build and deploy end-to-end machine learning solutions. You’ll work across the full ML lifecycle — from data preparation and model training to deployment and monitoring — helping turn advanced AI capabilities into reliable systems for real operational environments What you’ll work on • Develop and optimize models across LLMs, NLP, computer vision and 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 toolkits to train models in containerized environments • Collaborate with backend and product teams to integrate AI capabilities into production systems • Maintain well-documented, version-controlled codebases What we’re looking for • 4+ years of experience in machine learning or AI engineering • Strong proficiency in Python and ML frameworks, including PyTorch or TensorFlow • Solid understanding of supervised and unsupervised learning, deep learning, optimization and evaluation metrics • Experience with MLOps tools such as MLflow, Kubeflow or SageMaker • Familiarity with cloud platforms for model training and serving, including AWS Lambda or similar services • Experience using Docker for containerized model training • Experience with Git and collaborative development practices • Proficiency in English Good to have • Experience with vector databases such as Qdrant, Weaviate or 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 Interested in building AI that moves from experimentation to real-world deployment? Send your CV and relevant portfolio or GitHub links to careers .ai
Sizga mos bo‘lishi mumkin bo‘lgan ish eʼlonlari!
Xarita yuklanmoqda...