Senior Natural Language Processing Engineer

1 day ago

Noida, Uttar Pradesh, India BeFiSc Full time

At BeFiSc, we are seeking a highly skilled Senior Natural Language Processing (NLP) Engineer to join our team. As an NLP expert, you will play a key role in developing and deploying Large Language Models (LLMs) for various language processing tasks.

Key Responsibilities
  • Model Development: Develop, fine-tune, and deploy LLMs for entity recognition, text summarization, intent analysis, and fraud detection.
  • NLP Model Design: Design, train, and validate NLP and LLM-based models to ensure they meet the needs of digital identity verification and fraud prevention.
  • Performance Optimization: Continuously monitor the performance of AI models and implement strategies to improve accuracy, reliability, and scalability.
  • Data Retraining: Retrain models based on real-world data to ensure optimal performance in production environments.

Collaboration & Integration

  • Work closely with product managers to define AI-driven features and objectives for digital identity verification and fraud detection.
  • Partner with engineers to integrate LLMs and AI models seamlessly into production systems, ensuring scalability and smooth operation.
  • Collaborate with data scientists to gather insights and improve model performance.

Data Management & NLP Analytics

  • Handle large datasets: clean, extract features, and prepare data inputs for LLMs and machine learning models.
  • Use advanced analytics tools to evaluate model performance, identify potential issues, and optimize models for NLP tasks.
  • Ensure efficient data preprocessing and management for continuous model improvements.

Compliance, Security & Model Ethics

  • Ensure AI models comply with data privacy, security, and regulatory standards specific to the fintech industry.
  • Implement robust fraud detection algorithms and conduct regular audits to maintain fairness, security, and privacy across AI models.
  • Address ethical considerations in AI model deployment and ensure transparency in how models are used and maintained.

Experimentation & Optimization

  • Lead A/B testing and other validation techniques to experiment with and optimize LLM and AI models.
  • Document results of model experimentation, performance outcomes, and improvement efforts.
  • Ensure ethical practices in AI model development and provide transparency for all stakeholders.

Qualifications:

Basic Qualifications:

  • Strong proficiency with LLM frameworks (e.g., Hugging Face Transformers, GPT-based models) and machine learning libraries (e.g., TensorFlow, PyTorch).
  • Expertise in Natural Language Processing (NLP) and a proven track record of deploying and maintaining LLMs in production environments.
  • Knowledge of data privacy, security, and compliance requirements in fintech.
  • Solid experience in problem-solving and collaborating within cross-functional teams to deliver AI-driven products.
  • Familiarity with fraud detection models and digital identity verification.

Preferred Qualifications:

  • Experience in working with large-scale data pipelines and high-performance AI systems.
  • Experience in deploying AI and NLP models in cloud environments (e.g., AWS, Google Cloud, Azure).
  • Familiarity with AI model performance evaluation techniques and optimizing for speed and accuracy.

The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience.

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