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AI Architect

AI Architect

ConfidentialDelhi, Delhi NCR
30+ days ago
Job description

Position Title : AI / ML Data Professional

Location : Remote

Job Type : Full-Time / Contract

Mandatory Skills

SQL, Data Science, AI / ML, GenAI, Data Engineering

Optional Skill

Data Modelling

Role & Responsibilities

  • Write clean and efficient Python code for AI, ML, and data science applications
  • Conduct in-depth analysis of discrete and multivariate datasets
  • Leverage and implement pre-trained AI / ML models for real-world problem-solving
  • Perform data manipulation, exploration, and transformation
  • Debug and resolve issues in AI pipelines with minimal external assistance
  • Apply AI / ML techniques to practical business problems and real-world datasets
  • Contribute to AI use cases development, model fine-tuning, and optimization
  • Participate in architecture or engineering-specific tasks depending on the applied role
  • Demonstrate strong problem-solving skills and the ability to troubleshoot without trivial search dependency

Python Proficiency Requirements

  • High speed and accuracy in coding
  • Solid understanding of Python syntax, structures, and debugging practices
  • Ability to independently solve complex problems using Python
  • Familiarity with core libraries like pandas, NumPy, scikit-learn, etc.
  • AI & Data Analysis Skills

  • Strong hands-on expertise in data manipulation and statistical analysis
  • Understanding of AI / ML model building, evaluation, and deployment
  • Comfortable working with structured and unstructured data
  • Experience applying models to real-world business scenarios
  • Problem-Solving & Debugging

  • Ability to read and analyze logs to identify and fix issues
  • Logical and structured approach to troubleshooting
  • Minimal reliance on basic Google queries to resolve errors
  • Practical Applications & Use Cases

  • Experience applying AI / ML solutions to production-grade datasets
  • Effectively use and modify pre-trained models to meet specific objectives
  • Ability to connect models to meaningful business outcomes
  • Interview Task

  • Dataset-Based Task : Perform multivariate analysis
  • Modeling Task : Use pre-trained models to implement predictive or classification solutions
  • Debugging Task : Analyze and fix broken code snippets
  • Live Coding Assessment : Open-book format; Google is allowed but should not be used for basic algorithm solutions
  • Role-Specific Focus

  • AI Architect Applicants : Will be assessed on AI / ML depth, model design, and real-world use case implementation
  • Data Engineer Applicants : Will be evaluated on data transformation, data pipeline construction, and backend data handling
  • Skills Required

    Sql, Data Science, data engineering , Data Modelling

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