обновлено 2 часа 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/LLM): 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 Streamlit interfaces, and implementing model monitoring for reliable business outcomes.
Location: Barcelona, Spain
Company
Gaming technology company developing modern solutions that improve products and player experiences through machine learning and AI.
What you will do
- Deploy machine learning models supporting game features, player experience, and operational efficiency.
- Improve SQL and Python code for data transformation, feature engineering, modeling pipelines, and AI applications.
- Build and contribute to Generative AI projects involving LLMs, RAG systems, and agentic AI.
- Develop Streamlit-based tools that make ML and AI capabilities accessible to non-technical users.
- Build and implement model monitoring systems to maintain 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 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.
- Hands-on experience building Generative AI applications with LLM API integration; familiarity with RAG systems is expected, while agentic AI experience is beneficial.
Nice to have
- Familiarity with agentic AI concepts or frameworks such as LangChain agents or CrewAI.
- Degree in a relevant technical field or equivalent experience.
Culture & Benefits
- Collaborative environment focused on creativity, initiative, and continuous learning.
- Minimal travel required, up to 5%.
- Comprehensive compensation and benefits package based on skills, experience, qualifications, and location.
- Potential annual bonuses, incentives, health and wellbeing benefits, paid time off, retirement plans, insurance, and local statutory benefits.
Hiring process
- Specific compensation and benefits details are discussed during recruitment.
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