24 дня назад
Senior Data Scientist (Recommendation Systems)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Recommendation Systems): Developing and optimizing recommendation systems and machine learning solutions for real-world business applications with an accent on personalization, relevance, MLOps, and productionization. Focus on integrating LLM-based capabilities, deploying and monitoring models with cloud technologies, and solving complex data and modeling challenges at scale.
Location: Montevideo, Uruguay
Company
is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for clients.
What you will do
- Design, develop, and optimize machine learning models and recommendation systems for real-world business applications.
- Build recommendation solutions focused on relevance, personalization, and measurable business impact.
- Use Python and SQL to explore large datasets, develop features, train models, and evaluate results.
- Integrate LLM-based capabilities and services into machine learning solutions when appropriate.
- Take solutions from experimentation and prototyping through production, including deployment, monitoring, maintenance, and continuous improvement.
- Collaborate with data scientists, data engineers, software engineers, and other stakeholders to deliver scalable, production-ready solutions.
Requirements
- Proven experience as a data scientist developing machine learning solutions.
- Strong knowledge of recommendation systems and related modeling approaches.
- Strong programming skills in Python and SQL, including experience working with data at scale.
- Hands-on experience taking machine learning models and solutions into production, with a solid understanding of MLOps.
- Experience with cloud technologies, Docker, Kubernetes, and integrating LLM-based services.
- Advanced English proficiency is required for clear communication in a professional environment.
Culture & Benefits
- Flexible working options.
- Access to AWS, Databricks, Snowflake, AI, and other learning paths, courses, and certifications.
- Udemy Business access and English lessons.
- Career development plans and mentorship programs.
- Company-provided equipment and rewards for personal milestones.
- Benefits may vary according to the employee's location in LATAM.
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