Job Description
Join QuantumLeap Labs at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect and deploy cutting-edge solutions that transform industries. Collaborate with elite researchers to build scalable ML pipelines, optimize neural networks, and pioneer next-gen algorithms. Our dynamic environment offers unparalleled opportunities to work with petabyte-scale datasets and deploy models that impact millions of users.
Responsibilities
- Design and implement end-to-end ML pipelines for production systems
- Optimize deep learning models for latency and accuracy
- Lead A/B testing and performance analysis of AI systems
- Mentor junior engineers and conduct peer code reviews
- Research and implement state-of-the-art NLP/computer vision techniques
- Collaborate with product teams to define ML-driven features
- Document architecture decisions and create technical specifications
Qualifications
- MS/PhD in Computer Science, Mathematics, or equivalent experience
- 5+ years building production ML systems at scale
- Expertise in TensorFlow/PyTorch and distributed training frameworks
- Strong proficiency in Python, SQL, and cloud platforms (AWS/GCP)
- Published research in top-tier ML conferences (NeurIPS, ICML)
- Experience with MLOps tools (Kubeflow, MLflow)
- Proven ability to translate business requirements into technical solutions
- Portfolio of deployed ML systems with measurable impact