AI/ML Solutions Developer

2 days ago

Chennai, Tamil Nadu, India beBeeArtificialintelligence Full time ₹ 9,00,000 - ₹ 12,00,000
AI/ML Professional Opportunity

This is a challenging role that involves the application of artificial intelligence and machine learning principles to solve complex problems.

Mandatory Skills:
  • Data Science
  • SQL
  • Ai/ml
  • Genai
  • Data Engineering

The ideal candidate will have a solid understanding of data manipulation, statistical analysis, and AI/ML model building, evaluation, and deployment.

Responsibilities:
  1. Develop and implement AI/ML solutions for real-world business scenarios
  2. Conduct in-depth analysis of discrete and multivariate datasets
  3. Write clean and efficient Python code for AI, ML, and data science applications
  4. Leverage and implement pre-trained AI/ML models for problem-solving
  5. Debug and resolve issues in AI pipelines with minimal external assistance
  6. Apply AI/ML techniques to practical business problems and real-world datasets
  7. Contribute to AI use cases development, model fine-tuning, and optimization
  8. Participate in architecture or engineering-specific tasks depending on the applied role
Requirements:
  • 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.
Benefits:
  • Demonstrate strong problem-solving skills and ability to troubleshoot without trivial search dependency
  • Comfortable working with structured and unstructured data
Interview Tasks:
  • 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

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