Senior Machine Learning Developer (Python, Azure AI/ML)

6 - 11 years

15 - 30 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

About Company:

Papigen

About the Role:

Senior Machine Learning Developer

Key Responsibilities:

  • Build, train, and implement ML/NLP models for classification, clustering, and text analysis
  • Work with large-scale financial data and develop intelligent automation solutions
  • Clean, normalize, and validate structured and unstructured datasets
  • Build and consume REST APIs for ML services
  • Integrate Azure AI services including Cognitive Services, OpenAI, and Form Recognizer
  • Collaborate with cross-functional teams including DevOps, data engineers, and PMs
  • Follow best practices in model versioning, testing, and deployment
  • Document ML workflows and models for reproducibility and compliance

Required Skills & Experience:

  • 6+ years of experience in software/data engineering, with 3+ years in ML/AI
  • Strong Python expertise with libraries like

    Scikit-learn

    ,

    Pandas

    ,

    NumPy

    , etc.
  • Experience with ML frameworks such as

    TensorFlow

    or

    PyTorch

  • Experience building AI models for NLP tasks like classification, summarization, or entity extraction
  • Familiarity with

    Azure AI/ML services

    (Azure ML Studio, Cognitive Services, AKS, Key Vault)
  • Experience handling both structured and unstructured datasets
  • REST API and Python library development
  • Excellent communication and documentation skills

Nice to Have:

  • Exposure to

    finance sector datasets

    or financial document automation
  • Experience with

    Azure OpenAI

    , Azure Language Studio, or Chatbot frameworks
  • Familiarity with

    statistical programming languages

    like R or Julia
  • Microsoft Data or Azure AI/ML certifications

Benefits and Perks

  • Opportunity to work with leading global clients
  • Flexible work arrangements with remote options
  • Exposure to modern technology stacks and tools
  • Supportive and collaborative team environment
  • Continuous learning and career development opportunities

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