обновлено 15 дней назад
Senior AI Engineer (iGaming)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (iGaming): Designing, building, and deploying LLM-powered pipelines, autonomous agents, and intelligent automation solutions with an accent on agentic frameworks, RAG, and production-grade AI. Focus on architecting end-to-end AI systems, implementing LLMOps and advanced retrieval, and mentoring developers while shaping technical direction.
Location: Malta
Company
operates an iGaming business with a Data Center of Excellence focused on applied AI and data-driven solutions.
What you will do
- Design, build, and deploy LLM-powered pipelines and autonomous agents.
- Develop intelligent automation and advanced retrieval solutions for operational business challenges.
- Own complex AI initiatives end to end, from architecture through production deployment.
- Work with stakeholders to scope solutions and translate business needs into production-grade systems.
- Establish best practices for MLOps and production-grade AI.
- Mentor junior and mid-level developers and lead internal knowledge-sharing sessions.
Requirements
- BSc or MSc in Computer Science, AI/ML, Data Science, or a related field.
- 3+ years of industry experience designing, building, and deploying Generative AI solutions.
- Strong proficiency in Python and solid foundations in deep learning and foundation models.
- Hands-on experience with agentic frameworks such as LangChain, LangGraph, Strands, or equivalent.
- Experience integrating and orchestrating end-to-end LLM-based pipelines, including RAG pipelines.
- Familiarity with LLMOps, including CI/CD pipelines, model hosting, evaluation, and production monitoring.
Nice to have
- Experience with cloud AI services such as AWS Bedrock or Azure OpenAI.
- Experience fine-tuning LLMs with LoRA or QLoRA.
- Experience building knowledge retrieval systems using Knowledge Graphs or Context Graphs.
- Previous experience in the iGaming industry.
Culture & Benefits
- Work within a Data Center of Excellence supporting AI adoption across the business.
- Autonomy to solve complex AI problems and influence technical direction.
- Opportunities to share expertise and contribute to internal knowledge development.
- Join an international organization with 1,700 employees across seven offices.
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