Job Responsibilities: Implement AI applications according to requirements, including large model calls, API development, and data processing. Build an enterprise knowledge base (data cleaning, embedding, vector retrieval). Use vector databases (Milvus/Qdrant/FAISS, etc.) to complete indexing, retrieval, and debugging. Write scripts, DAG processes, MCP tool plugins, and perform other basic engineering work. Job Requirements: Proficient in Python with basic backend development skills. Experience using at least one large model API; RAG/knowledge base experience is preferred. Familiar with either a vector library or an Agent framework. Experience in AI application implementation or a strong interest in large models; strong hands-on skills. Basic knowledge of algorithms and NLP/ML. Experience Requirements: 3+ years of experience in AI-related fields; mathematics, computer science, or related majors preferred. Has practical experience in implementing large-scale enterprise-level models.

Join us as a Business Intelligence Tableau Analyst and turn large volumes of data into clear, actionable insights. You’ll help guide key business decisions with your expertise in Tableau, data analysis, and visualization. Strong analytical skills, creative problem-solving, and the ability to explain complex data to diverse audiences are a must. Main Responsibilities: Develop and maintain interactive Tableau dashboards and reports. Conduct detailed data analysis to identify insights, trends, and performance metrics. Collaborate with teams to gather data requirements and translate them into analytical solutions. Create and optimize data models to support reporting needs. Present data-driven insights clearly to both technical and non-technical audiences. Desired Experience: 3+ years of experience in data analytics, business intelligence, or a related field. Strong hands-on experience with Tableau and SQL. Solid analytical and problem-solving abilities. Familiarity with large datasets, data modeling, and visualization best practices. Experience in the gaming or iGaming industry is a plus. Good communication and stakeholder management skills.  

An innovative iGaming company is seeking a DevOps Tech Lead to guide a skilled team of DevOps Engineers and IT professionals. We are looking for the right candidate who will combine technical expertise with strong leadership to ensure seamless operations and continuous improvement.  Main Responsibilities: Lead and mentor a team of DevOps Engineers and IT specialists to drive automation, scalability, and reliability across infrastructure and internal systems. Design, implement, and maintain CI/CD pipelines and cloud environments (GCP, AWS, or Azure). Oversee corporate IT operations, ensuring smooth, secure and efficient internal systems. Architect and manage Infrastructure as Code using Terraform, Ansible, or similar tools. Optimize containerized deployments using Docker and Kubernetes while ensuring robust monitoring and incident response. Desired Experience: 4+ years in DevOps, Cloud, or Infrastructure roles. Proven experience with CI/CD tools, cloud platforms, and IaC technologies. Strong scripting skills (Python, Bash, or Go). Database management knowledge (SQL, NoSQL, PostgreSQL, MongoDB). Experience with containerization and orchestrations (Docker, Kubernetes, Helm). Familiarity with monitoring tools (Grafana, Prometheus, Datadog) and IT operations management.