
NLP Expert
2 days ago
As a Machine Learning Engineer, you will be responsible for collecting and organizing large datasets with a focus on Natural Language Processing. In this role, you will work hands-on to optimize the training and deployment of machine learning models, ensuring they are quick and cost-efficient.
You will be pivotal in advancing our work with large language models and in-device models across diverse regions. Your expertise will enhance our natural language processing, machine learning, and predictive analytics capabilities.
We seek an experienced professional with a strong background in machine learning engineering, particularly in feature engineering, model development, and deployment. You should have a deep understanding of text processing, model development, and deployment challenges in the NLP domain.
Key Responsibilities:
- Develop and deploy machine learning models in production environments, ensuring scalability, reliability, and performance.
- Collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems.
- Leverage cutting-edge NLP techniques to enhance message understanding, spam filtering, and fraud detection.
Requirements:
- 3+ years of experience in machine learning engineering, with hands-on involvement in feature engineering, model development, and deployment.
- Experience in Natural Language Processing (NLP), with a deep understanding of text processing, model development, and deployment challenges in the domain.
- Strong familiarity with ML frameworks like TensorFlow, PyTorch, and ONNX, and experience in tech stack such as Kubernetes, Docker, APIs, Vertex AI, GCP.
Benefits:
- The opportunity to work on complex business problems and contribute to the development of state-of-the-art NLP models.
- A dynamic and collaborative work environment with opportunities for growth and professional development.
About Us:This is a company that values innovation and collaboration. We believe in providing our employees with opportunities for growth and professional development. Join us in shaping the future of machine learning and NLP.
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