Chegg - Staff Machine Learning Engineer - NLP/MLOps
1 month ago
Role : Staff Machine Learning Engineer
Location : New Delhi
Your goal :
To improve the education process and improve the student experience through data. The organization: Data Science for Learning Services Data Science and Machine Learning are core to Chegg. As a Student Hub, we want to ensure that students discover the full breadth of learning solutions we have to offer to get full value on their learning time with us. To create the most relevant and engaging interactions, we are solving a multitude of machine learning problems so that we can better model student behavior, link various types of content, optimize workflows, and provide a personalized experience.
The Role :
Staff Machine Learning Engineer As a Staff Machine Learning Engineer, you will focus on conducting research and development in NLP and ML. You will be responsible for writing production-quality code for data product solutions at Chegg. You will lead in identification and implementation of key projects to process data and knowledge discovery.
Responsibilities :
- Translate product requirements into AIML/NLP solutions, and leading the design and implementation of complex ML models and systems
- Be able to think out of the box and be able to design novel solutions for the problem at hand
- Write production-quality code
- Be able to design data and annotation collection strategies
- Identify key evaluation metrics and release requirements for data products
- Integrate new data and design workflows
- Innovate, share, and educate team members and community
Requirements :
- 6+ years of working experience in machine learning, NLP, recommendation systems, experimentation, or related fields, with a specialization in NLP
- Working experience on LLMs that cater to multiple tasks such as text generation, Q&A, summarization, translation etc. is highly preferred
- Knowledge on MLOPs and deployment pipelines is a must
- Expertise on supervised, unsupervised and reinforcement ML algorithms.
- Strong programming skills in Python
- Top data wrangling skills using SQL or NOSQL queries
- Experience using containers to deploy real-time prediction services
- Excellent communication skills
- Good team player and a self-starter
- Outstanding analytical and problem-solving skills
- Experience working with ML pipeline products such as AWS Sagemaker, Google ML, or Databricks
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