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Alstom

Machine Learning Engineer

Alstom
Penuh Waktu · Kerja di lokasi

Persyaratan

Kerja di lokasi

Deskripsi pekerjaan Machine Learning Engineer Alstom

Key Responsibilities
Qualifications

Architect and Develop AI/ML Pipelines:

  • Design and implement large-scale, production-grade AI/ML pipelines using appropriate tools and algorithms.
  • Lead the full end-to-end ML lifecycle: model development, deployment, monitoring, and optimization for both on-prem and cloud environments.

Data Solution Design and Management:

  • Define, develop, and sustain data solutions including storage, processing units, and user interfaces for industrial-grade applications.
  • Build multi-tenant data collectors and storage systems.
  • Implement streaming and batch data processing for near-real-time flows.

Data Modeling and Quality:

  • Design scalable data models (SQL and NoSQL).
  • Assess and improve data quality across incoming data flows.
  • Apply data management and security best practices.

Analytics and Visualization:

  • Develop customizable analytical dashboards for stakeholders.
  • Ensure strong testing and quality assurance practices throughout development.

Innovation and Technology Evaluation:

  • Stay updated on emerging technologies and evaluate opportunities for integration.
  • Contribute to continuous improvement of AI/ML solutions and processes.

Education: Master’s or Ph.D. in Computer Science, Data Engineering, Machine Learning, or related field.

Experience:

  • Proven experience in designing and deploying AI/ML solutions at scale.
  • Strong background in data engineering and pipeline development.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and on-prem solutions.

Technical Skills:

  • Proficiency in Python, SQL, and NoSQL databases.
  • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Knowledge of data streaming tools (Kafka, Spark) and containerization (Docker, Kubernetes).
  • Experience working with Microsoft solutions and Databricks is a plus
  • Familiarity with CI/CD and MLOps practices.

Soft Skills:

  • Strong problem-solving and analytical mindset.
  • Ability to work collaboratively in cross-functional teams.
  • Excellent communication and documentation skills.
Tentang Perusahaan
Alstom
Alstom

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Machine Learning Engineer

Alstom
Penuh Waktu · Kerja di lokasi

Persyaratan

Kerja di lokasi

Deskripsi pekerjaan Machine Learning Engineer Alstom

Key Responsibilities
Qualifications

Architect and Develop AI/ML Pipelines:

  • Design and implement large-scale, production-grade AI/ML pipelines using appropriate tools and algorithms.
  • Lead the full end-to-end ML lifecycle: model development, deployment, monitoring, and optimization for both on-prem and cloud environments.

Data Solution Design and Management:

  • Define, develop, and sustain data solutions including storage, processing units, and user interfaces for industrial-grade applications.
  • Build multi-tenant data collectors and storage systems.
  • Implement streaming and batch data processing for near-real-time flows.

Data Modeling and Quality:

  • Design scalable data models (SQL and NoSQL).
  • Assess and improve data quality across incoming data flows.
  • Apply data management and security best practices.

Analytics and Visualization:

  • Develop customizable analytical dashboards for stakeholders.
  • Ensure strong testing and quality assurance practices throughout development.

Innovation and Technology Evaluation:

  • Stay updated on emerging technologies and evaluate opportunities for integration.
  • Contribute to continuous improvement of AI/ML solutions and processes.

Education: Master’s or Ph.D. in Computer Science, Data Engineering, Machine Learning, or related field.

Experience:

  • Proven experience in designing and deploying AI/ML solutions at scale.
  • Strong background in data engineering and pipeline development.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and on-prem solutions.

Technical Skills:

  • Proficiency in Python, SQL, and NoSQL databases.
  • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Knowledge of data streaming tools (Kafka, Spark) and containerization (Docker, Kubernetes).
  • Experience working with Microsoft solutions and Databricks is a plus
  • Familiarity with CI/CD and MLOps practices.

Soft Skills:

  • Strong problem-solving and analytical mindset.
  • Ability to work collaboratively in cross-functional teams.
  • Excellent communication and documentation skills.
Tentang Perusahaan
Alstom
Alstom

Tips Aman Cari Kerja

Pemberi kerja yang benar tidak akan meminta akun Telegram, top-ups atau pembayaran dalam bentuk apapun. Jangan berikan kontak pribadi, informasi bank, maupun kartu kredit kamu.

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Machine Learning Engineer

Alstom