Data Scientist - Generative AI

We are seeking an experienced Data Scientist specializing in Generative AI to join our innovative team. This role requires a deep understanding of AI/ML technologies, hands-on experience with GenAI frameworks, and the ability to build production-ready AI solutions.


Responsibilities:

  • Design and implement advanced GenAI solutions using cutting-edge frameworks and methodologies.
  • Develop and deploy AI agents using state-of-the-art agent frameworks.
  • Build and optimize RAG (Retrieval-Augmented Generation) systems for enterprise applications.
  • Implement chunking strategies and enhance LLM understanding for complex data processing.
  • Manage and optimize AI workloads on cloud platforms.
  • Develop LangChain applications and integrate with vector databases.
  • Design and implement token management systems and knowledge graphs.
  • Create computer vision solutions using modern Vision APIs.
  • Apply prompt engineering techniques and AI algorithms for optimal model performance.
  • Implement deep learning models and computer vision solutions.
  • Apply responsible AI methodology and hallucination control techniques.
  • Collaborate with cross-functional teams to deliver scalable AI solutions.


Requirements:

  • Agent Framework - Extensive experience with AI agent development and deployment.
  • RAG Framework - Deep understanding of Retrieval-Augmented Generation architectures.
  • Chunking Strategies - Proven expertise in data chunking and preprocessing techniques.
  • LLMs Understanding - Comprehensive knowledge of Large Language Models and their applications.
  • AI on Cloud Services Experience - Hands-on experience deploying AI solutions on major cloud platforms.
  • LangChain - Proficiency in the LangChain framework for building AI applications.
  • Vector Database - Experience with vector databases and similarity search systems.
  • Token Management - Understanding of token optimization and management strategies.
  • Knowledge Graph - Experience building and utilizing knowledge graphs.
  • Vision APIs - Proficiency with computer vision APIs and image processing.
  • Prompt Engineering - Advanced skills in prompt design and optimization.


Preferred Qualifications:

  • AI Algorithms - Strong foundation in AI/ML algorithms and methodologies.
  • Deep Learning - Experience with deep learning frameworks and neural networks.
  • Computer Vision - Hands-on experience with CV models and image analysis.
  • Hallucinations Control Methodology - Knowledge of techniques to mitigate AI hallucinations.
  • Responsible AI Methodology - Understanding of ethical AI practices and bias mitigation.


Technical Requirements:

  • Python - Expert-level proficiency in Python programming.
  • Docker - Experience with containerization and deployment.
  • SQL - Strong database querying and management skills.
  • Versioning Tool - Proficiency with Git and version control systems.
  • Azure/AWS/GCP - Experience with major cloud platforms.


Experience Requirements:

  • 3+ years of relevant experience in data science and AI/ML.
  • Any cloud experience is valuable and considered a plus.


Education:

  • Master's or PhD in Data Science, Computer Science, AI/ML, or related field.
  • Equivalent professional experience may be considered.
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