NLP and ML Engineer
9 hours ago
The role of an NLP and ML Engineer is to develop and implement natural language processing (NLP) and machine learning (ML) systems.
Mandatory Skills:- Transformer Models: The ability to write PyTorch code to fine-tune or train open-source Transformer-based models on GPU machines.
- LLM and NLP: Experience in projects related to large language models (LLM) and NLP.
- Python Coding: Hands-on experience with Python coding, including estimation-related questions.
- Gen AI: Familiarity with general artificial intelligence concepts.
- Machine Learning/Deep Learning: Mandatory expertise in either machine learning or deep learning.
- ML and DL: Basic knowledge of machine learning and deep learning principles.
- Role:
- Proven experience as an NLP and ML Engineer or similar role.
- Experience working with open-source LLMs for text generation tasks.
- Understanding of NLP techniques for text representation and semantic extraction.
- Familiarity with BERT models for intent classifiers and entity extraction.
- Ability to write robust and testable code.
- Experience with machine learning frameworks, specifically PyTorch.
- Study and transform data science prototypes.
- Design NLP applications.
- Use effective text representations to transform natural language into useful features.
- Find and implement the right algorithms and tools for NLP tasks.
- Develop NLP systems according to requirements.
- Train the developed model and run evaluation experiments.
- Perform statistical analysis of results and refine models.
- Extend ML libraries and frameworks to apply in NLP tasks.
- Remain updated in the rapidly changing field of machine learning.
This salary estimate is based on industry standards and may vary depending on factors such as location, experience, and specific job requirements. At Strategic Talent Partner LLP, we offer a competitive compensation package that includes benefits and opportunities for growth and development.
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