Job Description

We are seeking a senior-level Machine Learning Engineer to lead the design, development, and deployment of advanced machine learning models and infrastructure. You will drive the technical direction of ML initiatives, mentor junior engineers, and solve complex, high-impact problems that improve operational efficiency. This position also contributes to the broader AI/ML strategy of the organization.

What you will be responsible for:

Lead the end-to-end development and deployment of complex machine learning models. Design and build scalable, reliable ML infrastructure and pipelines. Define and drive ML engineering best practices, standards, and technical strategy. Provide mentorship and technical guidance to junior and mid-level ML engineers. Collaborate with cross-functional teams to identify opportunities and deliver ML-driven solutions to business challenges. Research, evaluate, and implement state-of-the-art ML and AI techniques to enhance system performance and innovation. Develop ML feedback mechanisms to optimize our system and operational efficiency.

How you will stand out:

Strong background in machine learning theory and practice. Extensive experience building and deploying ML models in production. Proficiency in relevant programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch). Experience with cloud platforms (e.g., AWS, Azure, GCP) for ML. Excellent problem-solving and communication skills. Advanced degree in Computer Science, Statistics, or a related field preferred. 7+ years working experience in production

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.