Eventum ai · Remote (full‑time 1‑3 week sprint, then ongoing 20hr/week)
$55–95
Consumer mobile app that lets users design apparel through a proprietary diffusion model.
• Productionise the text‑to‑image API — containerise, deploy, and autoscale the model on AWS/GCP/Kubernetes • Cut latency from ≈30 s to ≤4 s while maintaining image quality • Controlling GPU • Implement monitoring • Embed CI/CD & IaC (GitHub Actions, Terraform, Helm) • Documentation
• 5+ years generative models at scale • Strong Python • Containerisation & orchestration (Docker, K8s); IaC (Terraform, Pulumi) and CI/CD pipelines • Monitoring (Prometheus, Grafana, Loki, ELK)
• Direct experience with diffusion or large‑image‑generation models (Stable Diffusion, DALL·E, Imagen, etc.) • Cloud ops chops (AWS/GCP preferred) including autoscaling groups, load balancers, VPC networking, IAM security • TensorRT
Alatau City Market is a marketplace with hundreds of thousands of users. Developing search, recommendations, ranking algorithms, data warehouse, push notifications, product analytics and A/B testing
• Design and develop ETL/ELT pipelines using Airflow • Integrate data from various sources: logs, Kafka, API, databases, Rabbit MQ • Work with DWH • Ensure data quality: monitoring, alerts, tests, SLA • Optimize pipeline and query performance • Collaborate with analysts, ML engineers, backend developers, product managers
• Python for pipeline development • Pandas, NumPy • Experience with Airflow, relational, non-relational DBs • SQL knowledge and DWH principles • Working with large data volumes • Minimum 2 years of experience
• Data migration between systems • Analytical mindset • Experience in product/e-commerce
Caudena is a provider of intelligence and analytics platform for financial and government institutions
• Analysis of on-chain and off-chain data • Creation and automation of analytical services and ML models • Participation in AI agents ecosystem • Conducting research and sharing knowledge • Collaborating with passionate experts • Opportunity to publish research and attend conferences
• 5+ years experience in DS/ML • Strong knowledge of math statistics and machine learning • Strong analytical skills with large datasets • Python (numpy, pandas, pydantic, TensorFlow/PyTorch); Airflow, MLflow; Docker, Kubernetes; version control systems (e.g., Git) and CI/CD pipelines • Bachelor’s or Master’s degree in related field
E-commerce company selling auto parts and related products
• Design and develop analytical solutions • Work closely with stakeholders and data engineers • Create user-friendly Power BI dashboards • Ensure high data quality • Drive data-informed decisions
• 5+ years in Data Analysis or Analytics Engineering • Strong SQL & Python skills • Experience delivering analytics solutions & insights • E-commerce familiarity • Fluent English (B2/C1)
• Develop and maintain backend services for the AI assistant using Python and FastAPI • Add support for multimodal inputs (text, images, documents) • Implement agent functionality: internal knowledge base search, web search, system interaction via MCP • Ensure high availability and performance of backend systems • Collaborate with ML and DevOps teams to deliver production-ready features
• Strong experience with Python (FastAPI), SQLAlchemy, asyncio • Production experience with PostgreSQL, Redis, Kafka • Docker and Kubernetes; hands-on experience deploying to production • Familiarity with Prometheus and Grafana • Code quality mindset: linters, unit tests, CI/CD pipelines, documentation
• Experience with LLMs, RAG pipelines, OpenAI API, or MCP • Knowledge of gRPC or GraphQL