Job Description
Join Quantum Horizon as the Lead Machine Learning Engineer for our elite Project 2026. This is a rare opportunity to architect and deploy state-of-the-art AI solutions that will define the next era of data intelligence. We are not just building models; we are building the future of predictive analytics.
As part of Project 2026, you will work in a high-performance environment focused on scalability, speed, and accuracy. You will be responsible for guiding a talented team of data scientists and engineers to deliver breakthrough results that drive our global market leadership.
Responsibilities
- Lead the design, development, and deployment of end-to-end machine learning pipelines for Project 2026.
- Drive the selection and optimization of deep learning frameworks and algorithms.
- Collaborate with cross-functional stakeholders to translate business requirements into technical specifications.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Ensure system scalability, data integrity, and real-time processing capabilities.
- Stay abreast of the latest research in AI and implement cutting-edge techniques.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
- 7+ years of professional experience in Machine Learning and Artificial Intelligence.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Extensive experience with cloud platforms (AWS/Azure/GCP) and big data technologies (Spark/Kafka).
- Proven track record of shipping production-grade ML models.
- Excellent problem-solving skills and the ability to thrive in fast-paced, agile environments.