AI/ML

remote

We are looking for a skilled AI/ML+Python Engineer to join our core team. You will contribute to the development of critical AI/ML infrastructure for blockchain-based AI model execution and training capabilities.

About the projectA blockchain-based system that integrates GPU computing, AI models, and AI agents in a decentralized environment. The infrastructure enables the creation, training, and execution of AI models without centralized servers, ensuring transparency and scalability. AI agents can interact with smart contracts, analyze data, and make autonomous decisions.The technology is designed for Web3 applications, process automation, and integrating AI into the decentralized economy.

Responsibilities:

Dataset management
Storage, processing, and validation systems
ML model training
Training infrastructure and orchestration
AI model deployment and optimization
Performance tuning and validation pipelines
Integration with blockchain execution layer
Connecting services with existing Kubernetes-based runtime
Building APIs for cli integration
Blockchain event processing via Redis/PostgreSQL
Enabling end-to-end AI training workflows
Supporting model-dataset linking for training operations
Implementing training metadata collection and storage

Requirements:

3+ years of Python development experience (FastAPI/Flask, async/await patterns) with an AI/ML focus
Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, ONNX, scikit-learn)
Experience with Production ML systems — training pipelines, model deployment
Knowledge of containerization — Docker, Kubernetes (production experience)
Experience with microservices architecture in production AWS services (S3, ECR, Secrets Manager)
Familiarity with database design — PostgreSQL, Redis, metadata schemas
Experience with API development — RESTful services, async processing

Will be a plus:

ONNX Runtime experience or model optimization
Blockchain integration knowledge and familiarity with blockchain ecosystems (Cosmos SDK, Tendermint, smart contracts)
Experience with model execution in constrained environments
Experience with Trusted Execution Environments (TEE) or familiarity with secure enclave technologies
An awareness of zero-knowledge proofs (ZKP) and their applications in cryptography would be beneficial
Ability to read and understand Go/Rust code

We offer:

Competitive compensation
Social package (24 working days of annual leave, 5 paid sick days)
Flexible working hours
Challenging projects in diverse business domains and a variety of tech stacks
Personal development and professional growth opportunities
Work with talented, ambitious and family-feel teams
Educational possibilities: corporate courses, knowledge hubs, and in-house English classes
Compensation for your professional certification & support for your learning activities
Opportunity to choose IT equipment you like
Corporate social responsibility