Data Scientist

Overview

We are on the lookout for a resourceful and proficient AI Engineer / Developer to join our forward-thinking team. The ideal candidate will not only possess a strong foundation in Python programming, advanced mathematics, and algorithms, but also have specialized knowledge in Generative AI (GenAI) and Large Language Models (LLMs). This role is pivotal in developing machine learning and deep learning models, understanding and applying various neural network architectures, and handling intricate data processing and visualization. The successful candidate will be adept in natural language processing, deploying AI and ML solutions, and upholding AI security.

Key Responsibilities:

• Develop and refine machine learning and deep learning models.
• Apply expertise in neural network architectures, specifically for GenAI and LLM applications.
• Handle complex data processing, cleaning, and visualization tasks.
• Utilize natural language processing techniques for advanced AI solutions.
• Efficiently deploy AI/ML models in production environments, focusing on scalability and robustness.
• Uphold and enhance AI security measures to protect systems and data.
• Collaborate with cross-functional teams to integrate AI solutions, particularly GenAI and LLMs, into broader systems and applications.
• Stay abreast of the latest trends and advancements in AI, machine learning, GenAI, and LLMs.
  
  

• Proficiency in Python programming.
• Advanced knowledge in mathematics and algorithm development.
• Experience in developing machine learning and deep learning models.
• Strong understanding of neural network architectures, with emphasis on GenAI and LLMs.
• Skilled in data processing and visualization.
• Experienced in natural language processing.
• Knowledgeable in AI/ML deployment, DevOps practices, and cloud services.
• In-depth understanding of AI security principles and practices.
  
  

• Proficiency in Python programming.
• Advanced knowledge in mathematics and algorithm development.
• Experience in developing machine learning and deep learning models.
• Strong understanding of neural network architectures, with emphasis on GenAI and LLMs.
• Skilled in data processing and visualization.
• Experienced in natural language processing.
• Knowledgeable in AI/ML deployment, DevOps practices, and cloud services.
• In-depth understanding of AI security principles and practices.