✨ About The Role
- Engage in the full lifecycle of machine learning model development, from initial concept and data collection to training, evaluation, and deployment in production environments
- Work closely with partners and product managers to understand specific problems and develop tailored ML solutions
- Stay abreast of the latest advancements in ML, DL, and NLP and introduce new technologies and methodologies
- Design critical systems for customers' operations, ensuring reliability, low-latency performance, and minimal downtime
- Contribute to the broader ML community through technical blogs and publications, enhancing both personal and company presence in the field
âš¡ Requirements
- Master's or Ph.D. degree in Computer Science or a related discipline with a strong foundation in ML, DL, and NLP
- At least 4 years of industry experience in building and scaling large-scale NLP systems
- Deep understanding of ML and NLP fundamentals, with practical experience in deploying machine learning models in production
- Proficiency in Python and ML frameworks like Pytorch, TensorFlow, TensorRT, and Sagemaker/VertexAI
- Excellent communication, collaboration, and presentation skills are essential, as is the ability to provide thought leadership and influence product development