Job Description
Join QuantumLeap Labs at the forefront of AI innovation. We're seeking a visionary Senior Machine Learning Engineer to architect transformative solutions for autonomous systems and predictive analytics. Collaborate with cross-functional teams to deploy cutting-edge models that impact millions of users worldwide. Enjoy competitive benefits, flexible work arrangements, and a culture that champions intellectual curiosity.
Responsibilities
- Design and implement scalable ML pipelines using TensorFlow/PyTorch
- Lead research in reinforcement learning for autonomous decision-making
- Optimize model performance for real-time edge computing deployment
- Mentor junior engineers and conduct peer code reviews
- Collaborate with data scientists to translate business needs into ML solutions
- Stay current with latest ML research and implement state-of-the-art techniques
Qualifications
- MSc/PhD in Computer Science, Mathematics, or related field
- 5+ years of production ML experience with Python/C++
- Expertise in distributed computing frameworks (Spark, Kubernetes)
- Strong foundation in statistical modeling and algorithm design
- Published research in top-tier ML conferences (NeurIPS, ICML)
- Experience with MLOps tools (MLflow, Kubeflow)
- Portfolio demonstrating complex ML system deployments