Senior Inference Engineer

Bitdeer Technologies Group; Singapore; On-site; SGD 80,000 - 120,000; Full time

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.