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AI Model Engineer

Bitdeer Technologies Group Singapore SG

Live

$105k - $110k · Senior Full-time Posted 9 months ago 3 min read

About Bitdeer:

Bitdeer Technologies Group (Nasdaq: BTDR) is a leader in the blockchain and high-performance computing industry. It is one of the world’s largest holders of proprietary hash rate and suppliers of hash rate. Bitdeer is committed to providing comprehensive computing solutions for its customers.

The company was founded by Jihan Wu, an early advocate and pioneer in cryptocurrency who cofounded multiple leading companies serving the blockchain economy. Mr. Wu leads the company as Founder, Chairman, and CEO, while Matt Linghui Kong serves as Bitdeer’s CBO and provides leadership through deep industry knowledge and technology expertise.

Headquartered in Singapore, Bitdeer has deployed mining data centers in the United States, Norway, and Bhutan. It offers specialized mining infrastructure, high-quality hash rate sharing products, and reliable hosting services to global users. The company also offers advanced cloud capabilities for customers with high demands for artificial intelligence.

Dedication, authenticity, and trustworthiness are foundational to our mission of becoming the world’s most reliable provider of full-spectrum blockchain and high-performance computing solutions. We welcome global talent to join us in shaping the future.

What you will be responsible for:

Collect, clean, preprocess, and engineer features to ensure high-quality, complete data for model training.
Develop and maintain efficient, automated data processing pipelines.
Design and implement machine learning and deep learning models based on business requirements, independently handling model training, tuning, and evaluation.
Stay up to date with the latest algorithms and technology trends, optimizing model structures and algorithms for improved accuracy and robustness.
Optimize models for deployment using techniques such as compression, quantization, and pruning to enhance inference speed and resource efficiency.
Collaborate with R&D and operations teams to ensure smooth and stable deployment of models in real-world applications.
Participate in cross-functional technical discussions and support the implementation of AI solutions for product requirements.
Document technical processes and continuously improve development and maintenance workflows.
Research and explore emerging technologies and tools to enhance the team’s technical capabilities.

How you will stand out:

Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Strong foundation in machine learning and deep learning, with knowledge of common algorithms and model training processes.
Proficiency in Python and data processing libraries such as Pandas, NumPy, and Scikit-Learn.
Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
Proven experience in model training, tuning, and inference optimization, including techniques such as compression and quantization.
Strong analytical and problem-solving skills, with the ability to quickly identify and resolve data and model-related issues.
Effective communication and collaboration skills, with the ability to work cross-functionally in a team environment.

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.

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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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