Job Description
Join QuantumLeap Labs at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect cutting-edge solutions that transform industries. You'll lead end-to-end ML development from research to production deployment, collaborating with elite teams to build scalable, ethical AI systems. If you're passionate about pushing technological boundaries and solving complex problems, this is your chance to shape the future.
Responsibilities
- Design and implement production-grade ML pipelines for real-time data processing
- Lead research in deep learning architectures and NLP advancements
- Mentor junior engineers and conduct technical reviews
- Optimize model performance for cloud infrastructure (AWS/GCP)
- Collaborate with product teams to align ML solutions with business objectives
- Ensure compliance with AI ethics and data governance standards
Qualifications
- 5+ years of ML engineering experience with PhD in CS/ML or equivalent
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published research in top-tier ML conferences (NeurIPS/ICML)
- Proficiency in cloud-native deployment (Kubernetes, Docker)
- Strong background in MLOps and CI/CD for ML systems
- Experience with large-scale data processing (Spark, Flink)