Corridor Platforms | GenAI Data Scientist | bangalore

2 weeks ago


bangalore, India Corridor Platforms Full time

Company Description

Corridor Platforms is a leading decision workflow governance and automation capability designed by industry veterans to rapidly transform risk and marketing decisioning at banks. The platform enables leveraging new data, AI, and automation to create competitive excellence in revenue growth, risk control, and operating efficiency.


Role Description

This is a full-time on-site role for a GenAI Data Scientist at Corridor Platforms in Bangalore. The Data Scientist will be responsible for tasks such as data analysis, data visualization, and applying statistical techniques to drive insights and decision-making processes.


Qualifications

  • Strong experience in developing and implementing large language models (LLMs) and generative AI solutions
  • Proficiency in building LLM pipelines using foundational models, retrieval-augmented generation (RAG) techniques, and external API integrations
  • Expertise in Python programming and relevant libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and LangChain
  • Experience with natural language processing (NLP) techniques and frameworks
  • Familiarity with vector databases and embedding models for efficient information retrieval
  • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) for deploying and scaling AI solutions preferred


LLM Pipeline Risk Assessment - Preferred but not a must :


  • Ability to identify and mitigate potential risks in LLM pipelines, including:
  • Data privacy and security concerns
  • Bias and fairness issues in model outputs
  • Hallucination and factual accuracy problems
  • Prompt injection vulnerabilities
  • Model drift and performance degradation over time
  • Experience in implementing safeguards and monitoring systems to ensure responsible AI deployment


Domain Knowledge - Preferred but not a must :


  • Understanding of the banking and financial services industry, including regulatory requirements and compliance standards
  • Familiarity with common use cases for generative AI in banking (e.g., customer service chatbots, fraud detection, risk assessment)


Soft Skills :


  • Strong problem-solving and analytical thinking abilities
  • Excellent communication skills to explain complex AI concepts to both technical and non-technical stakeholders
  • Ability to work collaboratively in cross-functional teams
  • Adaptability to keep up with rapidly evolving AI technologies and methodologies


Skills & Qualifications

  • 2+ years of experience in developing and deploying AI/ML solutions, with a focus on NLP and generative AI
  • Proven track record of successful AI projects, preferably in the financial services sector


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