Advanced NLP Engineer
6 days ago
We are seeking an experienced Senior Machine Learning Engineer with a specialization in natural language processing (NLP) and large language models (LLM) to join our team at System Services. As a key member of our engineering team, you will be responsible for leading the development of advanced machine learning models and systems, with a focus on NLP and LLM.
**Key Responsibilities:**
- Lead the development of advanced machine learning models and systems, with a focus on NLP
- Design, implement and document efficient and effective data pipelines, and ensure that these pipelines are integrated seamlessly into our overall technology stack
- Deploy machine learning models into production environments, which involves preparing the models for deployment, testing them in the production environment, and ensuring they are functioning correctly before going live.
- Keep abreast of the latest developments in the field of machine learning, and incorporate these developments into our technology stack
- Provide guidance and mentorship to other members of the team, and help to foster a culture of collaboration and continuous learning
- Inform best practices for train/test data curation and version control
- Statistical monitoring of models in production
- Monitor and evaluate machine learning infrastructure uptime and costs.
Requirements:
To be successful in this role, you should have extensive experience with NLP and LLM, as well as a proven track record of delivering high-quality machine learning solutions in a production environment. You should also have experience with common machine learning frameworks and libraries, such as TensorFlow and PyTorch, and be comfortable working with large, complex datasets.
**Requirements Include:**
- A Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Extensive experience with Python
- Extensive experience with NLP models and pipelines
- Demonstrable experience of delivering high-quality machine learning solutions in a production environment
- Experience with common machine learning frameworks and libraries, such as TensorFlow and PyTorch
- Extensive experience with at least one ML and data pipeline framework such as Kubeflow, Airflow, etc.
- Extensive experience with SQL/postgres/BigQuery
- Experience with Spark or map-reduce/hadoop framework for parallel processing
- Comfortable working with large, complex datasets
- Excellent communication and collaboration skills
- Strong problem-solving abilities and attention to detail.
Salary:
$200,000 to $220,000 per year.
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