1 день назад
ML Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
ML Engineer (AI) (Machine Learning, LLMs, RAG): Deploying and improving machine learning systems for gaming products, player experiences, and operational efficiency with an accent on Python, SQL, production pipelines, and generative AI. Focus on building LLM and RAG applications, developing model monitoring, and exposing AI capabilities through interactive Streamlit tools.
Location: Barcelona, Spain
Company
develops gaming technology and software solutions focused on improving products and player experiences.
What you will do
- Deploy machine learning models supporting game features, player experience, and operational efficiency.
- Refine Python and SQL code for data transformation, feature engineering, modeling pipelines, and AI applications.
- Build and explore generative AI applications using LLMs, APIs, RAG systems, and agentic AI concepts.
- Develop Streamlit-based tools that make ML and AI capabilities accessible to non-technical users.
- Build and implement model monitoring systems for long-term performance and business alignment.
- Collaborate with product, data, and engineering teams, communicating results, limitations, and recommendations.
Requirements
- 5+ years of experience applying machine learning to real-world problems from data preparation through deployment.
- Strong Python skills and hands-on experience with machine learning libraries.
- Solid SQL expertise and experience with large data warehouses.
- Experience with cloud platforms such as GCP, AWS, or Azure, as well as Docker and Airflow.
- Ability to build simple user interfaces with Streamlit or similar tools and integrate generative AI APIs.
- Degree in a relevant technical field or equivalent experience.
Nice to have
- Experience or interest in RAG systems through prototypes, side projects, or professional work.
- Familiarity with agentic AI frameworks such as LangChain agents or CrewAI.
Culture & Benefits
- Collaborative environment spanning product, data, and engineering.
- Opportunity to work with mature machine learning systems and emerging AI technologies.
- Minimal travel required, up to 5%.
- Compensation and benefits may include annual bonuses, incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and local statutory benefits.
- Compensation details are determined by skills, experience, qualifications, and location and discussed during recruitment.
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