AI/ML+Python Engineer
Vacancy Description
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.
The Project
A 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.
Requirements
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3+ years of Python development experience (FastAPI/Flask, async/await patterns) with an AI/ML focus
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Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, ONNX, scikit-learn)
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Experience with Production ML systems training pipelines, model deployment
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Knowledge of containerization Docker, Kubernetes (production experience)
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Experience with microservices architecture in production AWS services (S3, ECR, Secrets Manager)
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Familiarity with database design PostgreSQL, Redis, metadata schemas
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Experience with API development RESTful services, async processing
Would 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
Responsibilities
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Dataset management
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Storage, processing, and validation systems
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ML model training
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Training infrastructure and orchestration
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AI model deployment and optimization
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Performance tuning and validation pipelines
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Integration with blockchain execution layer
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Connecting services with existing Kubernetes-based runtime
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Building APIs for cli integration
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Blockchain event processing via Redis/PostgreSQL
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Enabling end-to-end AI training workflows
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Supporting model-dataset linking for training operations
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Implementing training metadata collection and storage
What We Offer
Competitive compensation
Social package (24 working days of annual leave and 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 team
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
Would you like to join us?
Please send your resume for our review, and we will be in touch with you soon.