Job Description
Join QuantumLeap Labs, where innovation meets impact! We're seeking a visionary Senior Machine Learning Engineer to architect next-gen AI solutions that transform industries. You'll lead cutting-edge projects in natural language processing and computer vision while mentoring a dynamic team. Our collaborative culture encourages bold experimentation with 20% innovation time and patent support. Work in our state-of-the-art lab with GPU clusters and flexible hybrid options. Shape the future of AI with us!
Responsibilities
- Design and implement production-grade ML systems using TensorFlow/PyTorch
- Develop novel neural network architectures for NLP and computer vision tasks
- Optimize models for scalability and real-time inference performance
- Collaborate with cross-functional teams to define ML-driven product features
- Lead research initiatives to publish breakthrough findings at top-tier conferences
- Mentor junior engineers and establish best practices in ML engineering
- Translate business requirements into robust technical solutions
Qualifications
- MS/PhD in Computer Science, Mathematics, or related field
- 5+ years of ML engineering experience with production systems
- Expertise in Python, PyTorch/TensorFlow, and distributed computing
- Strong background in NLP transformers and CNN architectures
- Proven track record of deploying ML models at scale
- Experience with MLOps tools (Kubernetes, MLflow, Kubeflow)
- Published research in ML/AI conferences (NeurIPS, ICML, CVPR)