Description

Design and optimize advanced AI solutions using deep learning and NLP.

Responsibilities

• Implement and optimize deep learning models using NLP, OCR, and vector stores.
• Develop and deploy AI solutions as services or REST API endpoints on Cloud or Kubernetes.
• Write clean, PEP 8 compliant Python code using object-oriented design methodologies.
• Write unit tests in Python and manage code through GitLab CI/CD pipelines.
• Collaborate within Agile teams to solve complex technical problems.

Required Skills

• 5+ years of hands-on experience in AI implementation and optimization.
• Strong expertise in Python, including PEP 8 standards and design patterns.
• Experience with Deep Learning frameworks including TensorFlow and Keras.
• Hands-on work with Large Language Models (LLMs) such as GPT-3.5, GPT-4, GPT-4 Turbo, and Cohere.
• Practical experience with NLP, OCR algorithms, and XGBoost.
• Proficiency in SQL and RDBMS, specifically PostgreSQL.
• Experience with GitLab, CI/CD workflows, and Swagger.
• Ability to deploy models via REST API endpoints.

Preferred Skills

• Experience fine-tuning open-source LLMs like Llama2 or Falcon.

Key Skills

Education

Any Graduate