AI Development Lead

2 weeks ago

Mumbai, Maharashtra, India beBeeDataAnalysis Full time ₹ 1,04,000 - ₹ 1,30,878
Job Opportunity

We are seeking a skilled professional to fill the role of AI Architect.

This position is remote and full-time/contract based.

Mandatory Skills
  • Proficiency in SQL, Data Science, AI/ML, GenAI, and Data Engineering
Optional Skill
  • Data Modelling
Key Responsibilities
  • Develop clean and efficient Python code for AI, ML, and data science applications
  • Analyze discrete and multivariate datasets
  • Implement pre-trained AI/ML models for real-world problem-solving
  • Manipulate, explore, and transform data
  • Debug and resolve issues in AI pipelines with minimal external assistance
  • Apply AI/ML techniques to business problems and datasets
  • Contribute to AI use cases development, model fine-tuning, and optimization
  • Participate in architecture or engineering tasks depending on the applied role
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
Ai & Data Analysis Expertise
  • 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 business scenarios
Problem-Solving & Debugging Capabilities
  • 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
Assessment 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 allowed but not for basic algorithm solutions
Role-Specific Focus
  • AI Architect Applicants: Assessed on AI/ML depth, model design, and real-world use case implementation
  • Data Engineer Applicants: Evaluated on data transformation, pipeline construction, and backend handling

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