обновлено 9 дней назад
Senior Machine Learning 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
Senior Machine Learning Engineer (AI): Developing and deploying applied machine learning solutions for regulated-industry business problems with an accent on deep learning, predictive modeling, and customer adoption. Focus on designing research-driven models, integrating them through REST APIs and microservices, and presenting results to non-technical stakeholders.
Location: On-site in Barcelona or Valencia, Spain
Company
combines strategy, frontier AI, technical integration expertise, and product development to deploy AI-native systems for regulated industries.
What you will do
- Work on applied research projects using state-of-the-art machine learning techniques.
- Deploy machine learning solutions so users can leverage their outputs.
- Understand business context and develop features that improve customer experience and adoption.
- Apply critical thinking and problem-solving to non-standard project challenges.
- Present results to non-technical stakeholders and collaborate with an international team.
Requirements
- Strong Python programming skills.
- Experience with machine learning and deep learning libraries and frameworks, including Scikit-learn, TensorFlow, Keras, or PyTorch.
- Experience with visualization frameworks such as Matplotlib, Seaborn, Bokeh, Power BI, Tableau, or D3.
- Experience applying recurrent neural networks, deep convolutional networks, clustering, regression, and classification algorithms.
- Understanding of Unix/Linux operating systems and familiarity with REST APIs and microservices.
- Strong communication, organizational, collaboration, problem-solving, and adaptability skills.
Nice to have
- Experience with Databricks, Dataiku, Snowflake, or a Data Engineer certification.
- Familiarity with web development.
Culture & Benefits
- Yearly education budget.
- Yearly sport budget.
- Opportunity to impact thousands of people.
- International, knowledgeable, and collaborative team.
- Open and transparent culture in a growing startup environment.
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