Senior Machine Learning Engineer
2 days ago
Key Responsibilities:Design and implement advanced machine learning models, including but not limited to, LLMs, NLP, Vision, Audio, and Recommendation Systems.
Develop and optimize machine learning pipelines using Pytorch and TensorFlow.
Write efficient, maintainable, and reusable code in Python and C++.
Conduct debugging, performance analysis, and test design to ensure the robustness and efficiency of the software.
Collaborate with cross-functional teams to integrate machine learning solutions into products.
Stay up-to-date with the latest advancements in machine learning and contribute to open-source projects.
Requirements
Deep Learning Expertise : Strong experience or knowledge in Deep Learning techniques, including LLMs, Natural Language Processing, Vision, Audio, and Recommendation Systems.
Framework Proficiency : In-depth knowledge of the structure and function of different components of Pytorch and TensorFlow software stacks.
Programming Skills : Excellent programming and software design skills in Python and C++, including experience with debugging, performance analysis, and test design.
Open-Source Development : Well-versed with open-source development practices.
ML Operator Knowledge : Knowledge of tiling and scheduling a Machine Learning operator is a plus.
Compiler and Code Generation : Experience with ML compilers and auto-code generation (using MLIR) is a plus.
Preferred Qualifications:Master’s or PhD degree in Computer Science, Electrical Engineering, or a related field.
Proven track record of publications or contributions to major machine learning conferences or journals.
Experience with large-scale machine learning model deployment and optimization.
Familiarity with cloud-based ML platforms and services (e.g., AWS SageMaker, Google AI Platform).
Benefits You will be working with one of the world’s leading development, technology and consultation service providers for their Indian office to the international engineering industries. Our 2.100 employees constantly keep abreast of technological progress. Thanks to their wide-ranging skills and innovative ideas, they play an active role in shaping the future of the company. You will be promised with your career in focus, flexibility, vacation and continuing education as per the company policies
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