12 дней назад
Junior AI/ML Engineer
30 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Junior AI/ML Engineer (Python/LLM/MLOps): Building and deploying production-grade machine learning systems, including generative AI applications, traditional ML models, and scalable MLOps pipelines with an accent on Python engineering, LLM system design, and model training and inference. Focus on designing RAG and agent systems, developing ML pipelines, and delivering real-world AI products under senior mentorship.
Location: Remote; legal residence in Portugal required
Salary: €30,000 per year
Company
is an applied machine learning and artificial intelligence studio delivering production-grade ML systems for enterprises and startups, from proofs of concept to multi-year initiatives.
What you will do
- Build and deploy generative AI applications such as chatbots and agents.
- Develop traditional machine learning solutions for time series forecasting, AdTech, computer vision, and related use cases.
- Improve and scale MLOps pipelines for model training, inference, and serving.
- Develop Python APIs and work with cloud, containerization, search, observability, and LLM frameworks.
- Deliver hands-on project work with rapid feedback and measurable impact under senior mentorship.
Requirements
- Strong software engineering fundamentals, including OOP, Git, concurrency, and parallelism.
- Proficiency in Python.
- Understanding of LLM system design, including RAG and agents.
- Knowledge of ML system design, pipelines, and training and inference techniques.
- Excellent English communication skills.
- BSc in Computer Science, Software Engineering, or an equivalent field.
Nice to have
- MSc in Computer Science, Data Science, AI, or an equivalent field.
- Experience from jobs, internships, or other non-academic projects.
- Previous LLM project experience.
- Exposure to SageMaker, Bedrock, or Vertex AI.
- Experience working in large codebases.
Culture & Benefits
- Fully remote work with real-world projects and rapid feedback loops.
- Mentorship from engineers who have shipped ML systems at scale.
- Growth based on ownership and performance, with periodic reviews.
- Travel expenses allowance.
- Urban Sports Club membership and free professional certifications.
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