AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer (Machine Learning/LLMs): Designing, developing, and scaling AI-driven solutions for logistics projects from proof-of-concept to production with an accent on machine learning, deep learning, and LLM applications. Focus on evaluating PoCs, productizing successful concepts into MVPs, optimizing models, and integrating reliable AI capabilities into real-world systems.
Location: Remote from Portugal
Company
Technology solutions provider delivering tailored software services and expert support to business clients.
What you will do
- Identify business needs and opportunities where AI can create measurable value.
- Design, develop, evaluate, and iterate machine learning and deep learning proof-of-concepts.
- Analyze PoC outcomes and convert high-value concepts into scalable minimum viable products.
- Optimize and fine-tune AI models and algorithms for accuracy, efficiency, reliability, and usability.
- Integrate AI capabilities into existing systems and develop new AI-driven applications with product and engineering teams.
- Document methodologies and results, communicate findings to stakeholders, and provide technical guidance to junior AI engineers.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field.
- Professional experience as an AI Engineer, Machine Learning Engineer, or in a similar role.
- Strong understanding of LLMs, machine learning, deep learning techniques, algorithms, and frameworks such as TensorFlow, PyTorch, Keras, and LangChain.
- Proficiency in Python and Java, with experience using tools such as NumPy, pandas, and Matplotlib.
- Familiarity with cloud platforms and AI services, including AWS, Azure, or Google Cloud.
- Strong problem-solving, communication, teamwork, attention to detail, and self-management skills.
Nice to have
- Experience with big data processing and distributed computing frameworks such as Hadoop or Spark.
Culture & Benefits
- Remote work arrangement from Portugal.
- Collaborative environment with cross-functional teams and product stakeholders.
- Opportunities for continuous learning and exposure to emerging AI technologies.
- Knowledge sharing and mentoring within the engineering team.
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