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Senior Data Scientist

8 years

0 Lacs

Posted:7 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title: Senior Data Scientist – AI/ML/Data Conversion (Python, Code Generation)

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Experience:


Role Overview:

We are hiring a Senior Data Scientist to lead the development of AI-driven data conversion and code automation systems. This role focuses on designing intelligent data mapping, validation, and transformation solutions using advanced AI/ML techniques. You will work in close collaboration with cross-functional engineering teams to develop scalable, production-grade data applications. The ideal candidate brings strong programming skills, hands-on experience in AI-based data transformation, and the ability to iterate fast in a high-paced technology environment.


Key Responsibilities:

  • Design and implement AI-powered applications for data conversion, mapping, and code automation
  • Build scalable models to automate schema transformation, code generation, and data validation
  • Collaborate with engineers, analysts, and solution architects to deliver robust data pipelines
  • Integrate AI models into enterprise systems for data migration and transformation use cases
  • Monitor, debug, and continuously improve the performance of AI-driven conversion systems
  • Maintain detailed documentation of methodologies, frameworks, and architectural decisions
  • Stay updated with evolving trends in AI, data science, and enterprise data architecture


Core Skill Set:

  • Proficient in Python and SQL, with a strong foundation in AI/ML model development
  • Hands-on experience with frameworks such as TensorFlow, PyTorch, or equivalent
  • Experience in AI-driven data mapping, code generation, and validation techniques
  • Strong understanding of schema transformation, code parsing, and model-based automation
  • Familiarity with relational and NoSQL databases like SQL Server and MongoDB
  • Proven ability to work in collaborative, cross-functional environments
  • Strong problem-solving mindset and attention to data quality and integrity


Preferred Qualifications:

  • Experience in the Financial Services domain or similar regulated industries
  • Certification in Data Science, Machine Learning, or AI
  • Exposure to master data management (MDM), ETL processes, and data wrangling
  • Familiarity with DevOps and project tools like Jira, Confluence, and Bitbucket
  • Working knowledge of Azure ML, Azure Synapse, Cognitive Services, or Databricks
  • Prior experience delivering AI-based data solutions, such as code conversion or intelligent reconciliation pipelines

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