Machine Learning Engineer

Machine Learning Engineer – Advanced Systems & High-Performance Computing A leading technology-driven organization is seeking a Machine Learning Engineer to design and implement large-scale systems for training and deploying ML models.
This role offers the opportunity to work at the intersection of machine learning and high-frequency trading, leveraging cutting-edge technologies to accelerate experimentation and optimize performance.
Key Responsibilities: Develop distributed training pipelines and optimize real-time inference systems.Enhance ML frameworks with custom libraries and GPU acceleration tools.Build scalable models for high-volume, low-latency data processing.Collaborate with researchers and HPC specialists to streamline workflows and reduce costs.Evaluate and integrate open-source tools to improve model development and performance.Qualifications: 5+ years of experience in machine learning, focusing on training and inference systems.Expertise in Python, CUDA, or C++ with proficiency in ML frameworks like PyTorch, TensorFlow, or JAX.Hands-on experience with GPU programming and distributed training technologies (e.g., Horovod, NCCL).Knowledge of cloud platforms and orchestration tools is a plus.Contributions to open-source projects in ML or distributed systems are highly desirable.Why Join?
This is a rare chance to influence cutting-edge technology and drive innovation in a high-performance environment.
If you're passionate about machine learning and scalable systems, apply today!

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