Seedream 5.0 Pro nimalar qilib tashladi 😍🤯
yangi rasm modeli

Together with +Fit AI founder Doniyorbek, we're in the final stage of the project.

I've spent nearly three months focused entirely on the product design. Now we're preparing the app for its launch on the App Store and Google Play.

Excited to share it with everyone soon 🚀

#ai #ml #middle
AI Engineer
Company: Zehnmind.ai
Location: Tashkent (Office-based)
Salary: $2,000+ USD (depending on skills and experience)
We are looking for an AI Engineer to design, build, and deploy machine learning models and data pipelines. You will work across the full ML lifecycle — from data preparation and model training to deployment and monitoring.

Key Responsibilities:
Model Development: Develop and optimize models across LLMs, NLP, CV, or related AI domains.
Data Engineering: Design and architect data mining and synthetic labeling pipelines.
Data Processing: Preprocess data, perform feature engineering, and work with large-scale datasets.
Training & Evaluation: Train and evaluate models using PyTorch or TensorFlow.
MLOps: Deploy and monitor models using MLOps tools and cloud infrastructure.
Containerization: Use Docker and container toolkits to train models in containerized environments.
Collaboration: Partner with backend and product teams to integrate AI capabilities into production.
Code Quality: Maintain version-controlled, well-documented codebases.

Requirements:
Experience: 2+ years of commercial experience & 4+ years of total experience in ML/AI engineering.
Language: Strong proficiency in Python and English.
Frameworks: Deep understanding of PyTorch or TensorFlow.
ML Fundamentals: Solid grasp of supervised/unsupervised learning, deep learning, optimization, and metrics.
MLOps Tools: Experience with MLflow, Kubeflow, or SageMaker.
Cloud & DevOps: Familiarity with cloud platforms (AWS Lambda or similar) and Docker for training.
Git: Strong version control and collaborative development practices.

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.

We Offer:
Competitive salary starting from $2,000+ USD.
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
Please include:
Your CV/Resume.
GitHub profile or Portfolio.
A 2–3 paragraph description of your AI workflow.


👉 Подписаться на канал @UzDev_Jobs

🚀 TezkorAI loyihasining rasmiy kanaliga xush kelibsiz!

O‘zbekistonda sun’iy intellekt bilan ishlashning eng qulay va tezkor formati endi xizmatingizda! ⚡️

Endi murakkab platformalar yoki qimmat xorijiy servislarga ehtiyoj yo‘q. Barchasi to‘g‘ridan-to‘g‘ri Telegram ichida:

🎨 AI Rassom — So‘zlaringizni fotorealistik suratga aylantiradi.
📸 Foto-Tahrir — Rasmlarni AI yordamida tahrirlaydi.
🧠 Aqlli Yordamchi — Har qanday savollarga tezkor yechim va maslahat beradi.
🎁 Kunlik Bonuslar — Har kuni BEPUL tangalar oling va erkin ijod qiling!

Ushbu kanalda eng sara tayyor promptlar, yangiliklar va maxsus sovg‘alarni ulashib boramiz. 🌟

Hoziroq sinab ko‘ring va do‘stlaringiz bilan ulashing: 
👉 @TezkorAI_Robot

#backend #python #fastapi
Backend Developer (Senior) — zehnmind.ai

Company: zehnmind.ai
Location: Tashkent (office-based)
Type: Full-time
Salary: $3,000/month

We're looking for a senior backend engineer to build the APIs and infrastructure behind our AI products — FastAPI, PostgreSQL, Kubernetes, and AI integrations through MCP.

Key responsibilities
• Design and develop RESTful APIs using FastAPI
• Design, optimize and maintain PostgreSQL schemas and queries
• Write unit and integration tests to ensure code reliability and coverage
• Build and maintain CI/CD pipelines for automated testing and deployment
• Containerize and orchestrate services with Docker and Kubernetes
• Implement authentication, authorization and secure coding practices (input validation, secrets management, OWASP guidelines)
• Integrate AI capabilities into backend systems using MCP (Model Context Protocol) servers/tools
• Optimize application performance and database query efficiency
• Deploy and monitor services on cloud infrastructure
• Collaborate with frontend and product teams to integrate backend capabilities
• Maintain version-controlled, well-documented codebases

Requirements
• 5+ years of backend development experience (middle level or above)
• Strong proficiency in Python and FastAPI
• Solid PostgreSQL experience — schema design, indexing, query optimization, migrations
• Experience writing unit tests (pytest or similar) and following TDD best practices
• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI or similar)
• Experience with Docker and Kubernetes for containerized deployments
• Understanding of REST API design principles and best practices
• Knowledge of application security fundamentals — authentication/authorization, data encryption, vulnerability scanning, secure API design
• Version control with Git and collaborative development practices
• Languages: Uzbek C1, English B2 or above

Good to have
• Experience with MCP for connecting AI tools/agents to backend services
• Async Python (asyncio, SQLAlchemy async or similar)
• Message queues — RabbitMQ, Kafka or Redis
• Cloud platforms — AWS, GCP or Azure
• SQLAlchemy ORM and Alembic migrations
• Caching strategies — Redis, Memcached

Key skills: Python · FastAPI · PostgreSQL · Docker · Kubernetes · CI/CD · GitHub · GitLab · OWASP

How to apply
Send your CV and GitHub/portfolio link to careers@zehnmind.ai or career@zehnmind.ai
Know a strong backend engineer? Share this with them.


👉 Подписаться на канал @UzDev_Jobs