O pozícii
The AI Engineer will design, build, deploy, and monitor machine learning models and data pipelines across the full ML lifecycle. The role covers LLMs, NLP, computer vision, MLOps, and integration of AI capabilities into production.
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 toolkits to train models in containerized environments.
- Partner with backend and product teams to integrate AI capabilities into production.
- Maintain version-controlled, well-documented codebases.
Requirements
- 2+ years of commercial experience and 4+ years of total experience in ML/AI engineering.
- Strong proficiency in Python and English.
- Deep understanding of PyTorch or TensorFlow.
- Solid grasp of supervised and unsupervised learning, deep learning, optimization, and metrics.
- Experience with MLflow, Kubeflow, or SageMaker.
We Offer
- Competitive salary starting from $2,000+ USD, depending on skills and experience.
- Company-sponsored lunch.
- Comfortable office in Tashkent.
- Clear career growth while building a large-scale product.
How to Apply
Submit your application to careers@zehnmind.ai or career@zehnmind.ai. Include your CV or resume, GitHub profile or portfolio, and a 2–3 paragraph description of your AI workflow.