AI Engineer

zehnmind.ai #ai #engineer 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@zehnmind.ai.

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