4 часа назад
Analytics Engineer (Machine Learning)
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
Analytics Engineer (Machine Learning): Developing, integrating, and optimizing machine learning solutions and predictive analytics models in enterprise environments with an accent on Python, GCP, data processing, and model lifecycle management. Focus on deploying and monitoring production ML models, building Bokeh visualizations, optimizing performance, and translating business requirements into scalable technical solutions.
Location: Aguascalientes, Mexico
Company
is a global business and technology transformation partner delivering engineering, AI, cloud, data, and digital transformation services.
What you will do
- Develop, enhance, and maintain machine learning solutions and predictive analytics models.
- Integrate, deploy, monitor, upgrade, and troubleshoot ML models in production environments.
- Build and optimize data processing workflows with Python, SQL, Pandas, and NumPy.
- Create data visualizations and reporting solutions using Bokeh.
- Translate business requirements into technical deliverables and implementation plans.
- Collaborate with data scientists, SMEs, business stakeholders, and Agile delivery teams.
Requirements
- Bachelor’s degree in a STEM field.
- Experience supporting machine learning projects in enterprise environments.
- Advanced English communication skills.
- Strong Python programming skills and experience maintaining and integrating machine learning models.
- Hands-on experience with Google Cloud Platform, SQL, Pandas, NumPy, Git, Bokeh, and software testing or quality assurance.
- Ability to work independently, manage priorities, troubleshoot issues, and collaborate with business stakeholders and subject matter experts.
Nice to have
- Experience with data modeling, ETL processes, Agile/Scrum, Dataiku, and performance optimization.
- Knowledge of signal processing, MLOps, CI/CD, cloud-native ML, or prognostics and health management.
- Engineering background or experience in the Oil & Gas or oilfield domain.
Culture & Benefits
- Training, certifications, mentorship, technical academies, and continuous learning opportunities in Spanish and English.
- Work on advanced machine learning, AI, cloud-native analytics, and modern data platform initiatives with global clients.
- Collaboration with data scientists, engineers, and AI specialists through innovation communities and knowledge-sharing sessions.
- Inclusive work environment with well-being initiatives and career development support.
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