#hiring

If you are passionate about AI, software engineering and building systems that solve real-world problems, join our 3-week full-time, on-site Software Engineering Internship at zehnmind.ai and work alongside the team behind a production-grade Edge AI platform powering large commercial facilities.

What you'll work on:

· Real-time GPU video analytics in C++ / CUDA
· Backend services and APIs in Python
· Event streaming and analytics pipelines
· Production infrastructure where your code runs on real cameras and GPU devices

We're looking for:

· Strong fundamentals in Python and/or C++
· Basic knowledge of SQL, Git, REST APIs, and Linux
· Curiosity, problem-solving skills, and the ability to learn quickly
· Computer Science students or self-taught developers with projects to showcase

Nice to have:

· CUDA or GPU programming exposure
· Computer vision or video streaming knowledge
· Experience with Docker, message queues, or modern web frameworks

What you'll gain:

· Mentorship from experienced engineers
· Ownership of real features deployed to production
· Hands-on experience with cutting-edge AI systems
· A pathway to a full-time position for high-performing interns

To apply, send your CV and any relevant portfolio links to info@zehnmind.ai

@unilance - the best for you

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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.


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