Job Description
Join QuantumLeap Technologies at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect cutting-edge solutions that transform industries. As a key member of our R&D division, you'll collaborate with elite scientists and engineers to deploy scalable ML systems in cloud-native environments. Enjoy competitive benefits, flexible work arrangements, and the opportunity to shape tomorrow's technology today.
Responsibilities
- Design and implement production-grade ML pipelines using TensorFlow/PyTorch
- Lead research initiatives in NLP and computer vision domains
- Optimize model performance for edge computing deployments
- Mentor junior engineers and conduct peer code reviews
- Collaborate with product teams to translate ML prototypes into commercial solutions
- Stay current with emerging AI research through academic partnerships
Qualifications
- MS/PhD in Computer Science, Mathematics, or related field
- 5+ years of experience in ML engineering at scale
- Expertise in Python, distributed computing (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 of deployed ML systems handling >10M requests/day