Artificial Intelligence Strategist

2 weeks ago

Kolkata, West Bengal, India beBeeData Full time ₹ 4,00,000 - ₹ 8,00,000
Job Title: Senior Data Science Specialist

Location: Remote Work Opportunity

Full-Time / Contract Position

Key Skills and Qualifications

Mandatory:

  • Proficiency in SQL and data science software
  • Expertise in AI/ML model building and deployment
  • GenAI and data engineering skills

Optional:

  • Data modeling and statistical analysis
Role Responsibilities
  • Develop and implement efficient Python code for AI, ML, and data applications
  • Analyze complex datasets using multivariate analysis techniques
  • Apply pre-trained models to real-world problems
  • Perform data manipulation, exploration, and transformation tasks
  • Debug and troubleshoot AI pipelines with minimal external assistance
  • Contribute to AI use cases development, model fine-tuning, and optimization
  • Participate in architecture-specific tasks as required
  • Demonstrate strong problem-solving skills and analytical thinking
Python Proficiency Requirements
  • High coding speed and accuracy
  • Strong 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 Expertise
  • Hands-on experience with 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 Capabilities
  • Ability to read and analyze logs to identify issues
  • Structured approach to troubleshooting and error resolution
  • Minimal reliance on basic Google queries
Practical Applications & Use Cases
  • Experience applying AI/ML solutions to production-grade datasets
  • Effectively use and modify pre-trained models
  • Ability to connect models to meaningful business outcomes
Interview Tasks
  • Dataset-Based Task: Perform multivariate analysis
  • Modeling Task: 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, data pipeline construction, and backend data handling

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