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2,935

Model jobs in Spain

Senior Inference Engineer

Bitdeer Technologies Group

Singapore
On-site
SGD 80,000 - 120,000
30+ days ago
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Finance Transformation (Financial Services) Consultant / Senior Consultant, Business Consulting

Ernst & Young Advisory Services Sdn Bhd

Singapore
On-site
SGD 70,000 - 90,000
30+ days ago

Senior Data Scientist- #AIDA

Singtel Group

Singapore
On-site
SGD 75,000 - 95,000
30+ days ago

Clinic Manager (Clinic 3A)

Tan Tock Seng Hospital

Singapore
On-site
SGD 70,000 - 100,000
30+ days ago

Senior / Facilities Manager

CBRE

Singapore
On-site
SGD 70,000 - 90,000
30+ days ago
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Senior Accountant I, STS - GFS APAC

Gilead Sciences, Inc.

Singapore
On-site
SGD 80,000 - 100,000
30+ days ago

Graduate- Analyst

Infosys Singapore & Australia

Singapore
On-site
SGD 40,000 - 60,000
30+ days ago

Principal/Senior Principal- Oracle ERP Cloud Transformation

Infosys Singapore & Australia

Singapore
On-site
SGD 150,000 - 200,000
30+ days ago
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Senior Data Scientist - Computer Vision - KYC

GoTo Group

Singapore
On-site
SGD 70,000 - 90,000
30+ days ago

Principal Mechanical Engineer (Hospital and Services Planning), Eastern General Hospital Planni[...]

SINGAPORE HEALTH SERVICES PTE LTD

Singapore
On-site
SGD 60,000 - 85,000
30+ days ago

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Senior Inference Engineer
Bitdeer Technologies Group
Singapore
On-site
SGD 80,000 - 120,000
Full time
30+ days ago

Job summary

A leading technology firm in Singapore seeks a Senior MLOps Engineer to manage machine learning models from development to production. The ideal candidate will have over 5 years of MLOps or DevOps experience, strong Python coding skills, and proficiency in deploying applications on cloud platforms. This position offers a dynamic and inclusive work environment with opportunities for personal growth and contribution to impactful projects.

Benefits

Attractive welfare benefits
Developmental opportunities
Inclusive work culture

Qualifications

  • 5+ years of experience in MLOps, DevOps, or similar roles.
  • Strong programming skills in Python.
  • Hands-on experience with MLOps tools.
  • Solid experience in cloud platform deployments.

Responsibilities

  • Deploy and manage machine learning models from development to production.
  • Ensure the model serving infrastructure is efficient and scalable.
  • Create CI/CD pipelines for ML models.
  • Monitor and improve system performance.

Skills

MLOps experience
Python
CI/CD pipeline management
Container orchestration
Cloud deployment

Tools

MLflow
Kubeflow
Sagemaker
Docker
Kubernetes
Jenkins
GitLab CI
AWS
GCP
Azure
Job description
About Bitdeer

Bitdeer Technologies Group (Nasdaq: BTDR) is a world-leading technology company for Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions for its customers. The Company handles complex processes involved in computing such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The Company also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan.

What you will be responsible for

We\'re looking for a Senior MLOps Engineer to join our dynamic AI/ML team. You\'ll work with data scientists, data engineers, and product teams to deploy and manage machine learning models from development to production, ensuring their smooth and reliable operation for our users.

  • Deploy ML Models: Build and manage the systems that launch our machine learning models into production quickly and safely.
  • Scale & Optimize: Ensure our model serving infrastructure can handle lots of data, and make sure it runs efficiently.
  • Automate Deployment: Create CI/CD pipelines for testing, building, and deploying ML models.
  • Monitor Performance: Set up monitoring and alerting systems to track model performance, health, and resource usage.
  • Improve Practices: Set up best practices for MLOps, like version control for models and data, and reproducible experiments.
  • Collaborate: Work closely with data scientists, ML engineers, and other engineering teams to understand their needs and provide solutions.
How you will stand out
  • Experience: 5+ years of experience in MLOps, DevOps, or a similar role focused on deploying and managing applications, especially machine learning models.
  • Coding: Strong programming skills in Python (preferred) and experience with scripting (e.g., Bash).
  • MLOps Tools: Hands-on experience with MLOps platforms or tools like MLflow, Kubeflow, Sagemaker, or similar.
  • Cloud Expertise: Solid experience deploying and managing applications on cloud platforms like AWS, GCP, or Azure.
  • Containers & Orchestration: Strong understanding and experience with Docker and Kubernetes.
  • CI/CD: Experience setting up and managing CI/CD pipelines using tools like Jenkins, GitLab CI.
  • Communication: Great at explaining technical concepts and working with different teams.
What you will experience working with us
  • A culture that values authenticity and diversity of thoughts and backgrounds;
  • An inclusive and respectable environment with open workspaces and exciting start-up spirit;
  • Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
  • Ability to contribute directly and make an impact on the future of the digital asset industry;
  • Involvement in new projects, developing processes/systems;
  • Personal accountability, autonomy, fast growth, and learning opportunities;
  • Attractive welfare benefits and developmental opportunities such as training and mentoring.

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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