Job Description
We are pioneering the next era of intelligent systems. QuantumCore Systems is seeking a visionary Senior AI Engineer to architect solutions that will define the technological landscape of 2026 and beyond.
In this role, you will bridge the gap between theoretical research and production-grade deployment, leveraging Generative AI and Deep Learning to solve complex challenges. You will work in a high-performance environment that encourages innovation, scalability, and ethical AI development.
Why Join Us?
- Work on cutting-edge technology with industry-leading experts.
- Competitive compensation and equity packages.
- Flexible hybrid work model.
Your Mission:
You will lead the design and implementation of machine learning pipelines that power our next generation of autonomous software. If you are passionate about the future of AI and possess a deep technical background, we want to hear from you.
Responsibilities
- Architect Scalable ML Pipelines: Design, build, and maintain robust machine learning infrastructure capable of handling high-volume data streams.
- Research & Development: Conduct cutting-edge research to improve model accuracy, efficiency, and fairness in Generative AI models.
- Model Deployment: Deploy models to production environments using containerization and orchestration tools (Kubernetes, Docker).
- Collaboration: Partner with data scientists, software engineers, and product managers to define technical requirements and deliver high-quality software.
- Performance Optimization: Continuously monitor, evaluate, and optimize model performance to ensure real-time latency requirements are met.
- Mentorship: Guide junior engineers and provide technical leadership within the AI research team.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering or data science.
- Programming: Strong proficiency in Python, PyTorch, or TensorFlow.
- Big Data: Experience with distributed data processing frameworks (Apache Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to troubleshoot complex issues and develop innovative solutions in dynamic environments.