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Technical Customer Support Specialist (Chinese Speaking) ? Location: Malta (On-site) ? Salary: Up to €30,000   About the Role Our Client are looking for a Technical Customer Support Specialist to join our on-site team in Malta. In this role, you will support operational activities, handle agent queries, and monitor gaming systems in real time. This is a great opportunity for someone interested in technical support and the gaming industry.   Key Responsibilities Handle agent requests via written communication and provide timely support Operate and manage back-end game tools Perform basic network troubleshooting and tool usage Monitor game operations in real time and respond to issues promptly   What We’re Looking For Fluent in English and Chinese Strong interest in technical support and gaming Basic understanding of IT, networking, or systems is an advantage Background in Information Management or Computer Science is a plus Good problem-solving skills and attention to detail   What’s On Offer Salary up to €30,000 annually Full training provided (including initial training in Taiwan) Opportunity to gain hands-on experience in gaming operations On-site role within a collaborative team environment Career development opportunities within a growing industry

THIS ROLE REQUIRES RELOCATING TO TAIWAN FOR 6 MONTHS FOR MANDATORY TRAINING  Main Responsibilities: Develop long-term relationships with key customers, ensuring consistent engagement and satisfaction Oversee and expand revenue streams within an assigned portfolio by identifying growth opportunities Collaborate with clients to improve game visibility and performance through targeted marketing and promotional activities Contribute to securing and maintaining favorable commercial terms in partnerships Coordinate closely with internal marketing teams to deliver high-quality and effective promotional campaigns Serve as a trusted advisor to clients by sharing insights, best practices, and industry knowledge Provide prompt and efficient support to operators, ensuring all requests are handled in a timely manner Desired experience: Previous experience in account management, business development, or similar client-facing roles, ideally within iGaming, gaming, or digital entertainment (preferred but not strictly mandatory) Strong interpersonal and communication skills, with the ability to build lasting relationships Familiarity with marketing strategies and promotional planning is advantageous Good organizational skills and ability to manage multiple accounts simultaneously Candidates must be based in or eligible to work in one of the following countries: Mexico, Argentina, Peru, or Chile Willingness to undergo an initial training period in Taiwan before transitioning to a role based in LATAM (mandatory)

We’re looking for a Senior AI Engineer to lead the design and deployment of production-grade AI systems, with a focus on self-hosted models. You’ll play a key role in shaping how AI is used across Enteractive - from LLM-powered tooling for agents, to automation, personalization, and internal intelligence systems, while ensuring data privacy, performance, and reliability. This is a hands-on, high-impact role for someone who can bridge research and real-world systems at scale. Key Responsibilities Design, build, and maintain AI/LLM infrastructure (self-hosted models, GPUs, inference pipelines) Develop and deploy LLM-based solutions (RAG systems,internal tools for agents and CRM teams) Optimize models for latency & throughput in controlled environments Build scalable data pipelines for training, fine-tuning, and evaluation Implement model serving and orchestration (e.g., APIs, batching, streaming inference) Ensure security, compliance, and data privacy across all AI systems Collaborate with product and operations teams to embed AI into player engagement workflows Required Skills / Experience 2+ years of experience in AI / ML engineering Solid understanding of LLMs, embeddings, and prompt engineering Experience deploying models in on-prem or hybrid environments Strong Python skills and experience building production APIs/services Experience with model optimization techniques (quantization, batching, GPU utilization) Familiarity with MLOps practices (CI/CD, monitoring, versioning) Strong problem-solving skills and ability to operate autonomously