Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко сосредоточена на AI/ML, а обязанности подробно описаны; при этом локация и характер проектов зависят от клиентов, что может снижать предсказуемость и непрерывность работы.
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Условия зависят от проектаАктуальный стекПонятные задачиБюджет на обучениеСфера AI
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI/ML Developer (Python/MLOps): Building scalable AI/ML models, predictive analytics solutions, and data-driven applications integrated with enterprise platforms, with an accent on model development, forecasting, APIs, and production reliability. Focus on designing training and evaluation pipelines, implementing cloud-based deployments, and optimizing model performance across enterprise workflows.
Location: Lisbon, Portugal; remote work from anywhere in Japan if the client project allows; working location may be a temporary office in Shinbashi, the client, or the project site; up to 25 days of work from a preferred global location with client permission.
Company
hirify.global is a global consulting organization supporting life sciences clients through enterprise technology, analytics, and AI/ML solutions.
What you will do
Design, develop, deploy, and optimize AI/ML models for predictive analytics, forecasting, and business decision-making.
Develop algorithms for regression, classification, clustering, and time-series forecasting.
Build data preprocessing, feature engineering, model training, and evaluation pipelines for structured and unstructured data.
Integrate AI/ML solutions with AFP-related applications, enterprise data platforms, and business planning systems.
Develop REST APIs and integration components connecting models with existing applications.
Monitor production model accuracy, performance, scalability, and reliability; support testing, troubleshooting, deployment, and continuous improvement.
Requirements
Strong hands-on experience in AI/ML development, including model design, training, deployment, and optimization.
Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Solid understanding of machine learning algorithms, statistical modeling, predictive analytics, and forecasting techniques.
Experience developing data pipelines, performing feature engineering, and working with structured and unstructured datasets.
Knowledge of REST APIs, system integration, and connecting AI/ML solutions with enterprise applications.
Experience with cloud-based AI/ML platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI.
Understanding of MLOps concepts, including model versioning, monitoring, automated deployment, and CI/CD pipelines.
Strong analytical, problem-solving, and communication skills, with the ability to collaborate across technical and business teams.
Nice to have
Familiarity with enterprise data platforms, SAP environments, or business planning and analytics solutions.
Culture & Benefits
Competitive salary and benefits package with a work environment focused on long-term career development.
Global, diverse, collaborative environment with flat hierarchies and mentoring from senior leaders.
Regular workshops, academies, in-house training, and CHF 1,500 annually for professional development.
Remote work options in Japan when permitted by the client project, plus up to 25 days of work from a preferred global location with client permission.
Up to 20 days of annual vacation depending on seniority, additional time-off flexibility, and team integration activities.
Performance, referral, birthday, and work-anniversary bonus programs, including a 10% annual performance bonus based on company KPIs.
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