ML Engineer

<h3>📋 Description</h3> • As an ML Engineer specializing in Inference at Symbl.ai, you will play a key role in the development and optimization of our Nebula large language model, as well as other Conversation AI projects. • You will be responsible for implementing and deploying deep learning models to enable efficient and accurate inference in real-time communication scenarios. • Joining Symbl.ai as an ML Engineer focused on Inference offers the opportunity to work on cutting-edge technologies in the Conversation AI space. • You will be at the forefront of shaping the future of communication with our innovative product, Nebula, and other exciting projects. • Design and implement efficient algorithms and models for real-time inference in Conversation AI applications, with a focus on Nebula. • Collaborate with cross-functional teams to integrate machine learning models into production systems, ensuring scalability, reliability, and performance. • Optimize and fine-tune machine learning models for resource-constrained environments, such as edge devices or cloud-based platforms. • Develop monitoring and evaluation mechanisms to assess the performance and effectiveness of inference models in real-world scenarios. • Stay updated on the latest advancements in machine learning inference techniques and methodologies, incorporating new approaches into our projects as needed. • Contribute to the documentation and dissemination of best practices for implementing and deploying machine learning inference solutions. <h3>🎯 Requirements</h3> • Possess a strong background in machine learning, with hands-on experience in developing and deploying inference models in production environments. • Demonstrate proficiency in Python and relevant machine learning frameworks such as TensorFlow or PyTorch. • Have experience with optimization techniques for machine learning models, including quantization, pruning, and model compression. • Exhibit strong problem-solving skills and the ability to troubleshoot and debug complex technical issues related to inference. • Possess excellent communication and collaboration skills, with the ability to work effectively in a remote team environment. • Show a passion for learning and staying updated on advancements in machine learning inference technologies, with a keen interest in applying these technologies to Conversation AI. • Be experienced in fundamental libraries for accelerating ML workflows, like CUDNN/TensorRT, ROCm, OpenVino, or OpenPPL. Understanding of one or more ML communication frameworks like NCCL is an advantage. <h3>🏖️ Benefits</h3> • 100% covered health coverage for you, and 90% for your dependents. • 100% covered Life & AD&D, and short-term disability coverage for you. • 401(k) with 3% matching. • Continued education and professional development. • Fixed leave policy of 18 Planned vacation days, 8 sick days, generous maternity, paternity and 16 annual holidays.