Senior Data Scientist - GenAI

Corridor Platforms, Inc.

Bengaluru

On-site

INR 2,400,000 - 4,000,000

Full time

14 days+
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Job summary

Corridor Platforms is seeking a senior AI/ML engineer to help solve the hardest problems in production GenAI, including data privacy, bias mitigation, and prompt injection vulnerabilities. You will work across regulated sectors such as financial services and healthcare, collaborating with teams to deliver regulatory-aligned AI solutions.

You will design, develop, and deploy LLM pipelines, implement generative AI solutions, apply NLP techniques, and deploy on cloud platforms.

Qualifications

  • Minimum 5 years developing and deploying AI/ML solutions.
  • At least 3 years hands-on NLP and generative AI experience.
  • Track record delivering AI initiatives in regulated industries.

Responsibilities

  • Design, develop, and deploy LLM pipelines with RAG, memory, caching, and external API integrations.
  • Implement generative AI solutions for regulated industries such as financial services and healthcare.
  • Apply advanced NLP to address language understanding and generation challenges.
  • Deploy and scale AI solutions on cloud platforms (AWS, Azure, GCP).
  • Develop safeguards, monitoring systems, and compliance frameworks for responsible AI deployment.
  • Collaborate with cross-functional teams across product, compliance, engineering, and data science.

Skills

LLM deployment
Python for AI/ML
AI/NLP expertise

Education

Master's degree in Computer Science or Data Science

Tools

Hugging Face Transformers
LangChain
FastAPI
OpenAI Agent SDK

Job description

Help solve the hardest problems in production GenAI - data privacy, bias mitigation, and preventing model hallucinations and prompt-injection vulnerabilities. You will work across regulated sectors like financial services and healthcare, collaborating with teams to deliver innovative, regulatory-aligned AI solutions, with exposure to modern technologies and a lucrative salary package.

What you will do
  • Design, develop, and deploy LLM pipelines incorporating foundational models, RAG, memory/caching, and external API integrations.
  • Implement generative AI solutions for regulated industries such as financial services and healthcare.
  • Apply advanced NLP techniques to address language understanding and generation challenges.
  • Deploy, manage, and scale AI solutions on cloud platforms (AWS, Azure, GCP).
  • Develop safeguards, monitoring systems, and compliance frameworks for responsible AI deployment.
  • Collaborate with cross-functional teams across product, compliance, engineering, and data science.
What we are looking for
Technical skills
  • Proven expertise developing and deploying LLMs and generative AI solutions.
  • Python proficiency with AI/ML libraries: Hugging Face Transformers, LangChain, CrewAI, Sklearn, Plotly, TRL, FastAPI.
  • Experience with agent development platforms: OpenAI Agent SDK, Google Agent SDK, Dialogflow, VAPI, Salesforce AgentForce, Microsoft Copilot.
Education & experience
  • Master's degree in Computer Science, Data Science, or a related field.
  • Minimum 5 years developing and deploying AI/ML solutions.
  • At least 3 years of hands-on NLP and generative AI project experience.
  • Track record delivering successful AI initiatives in regulated industries.
Nice to have
  • Strong problem-solving and analytical thinking.
  • Effective cross-functional collaboration abilities.
  • Adaptability to evolving AI technologies and standards.

Corridor Platforms offers a state-of-the-art Decision and Analytics workflow automation platform designed to help institutions advance analytics and real-time decisioning with governance and compliance built into the foundation.

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