Expert Artificial Intelligence Developer

1 day ago

Gurgaon, Haryana, India beBeeArtificialintelligence Full time ₹ 1,04,000 - ₹ 1,30,878

We are seeking an experienced AI/ML Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with the ability to design and implement cutting-edge solutions.

">Mandatory Skills
  • Proficiency in Python: High speed and accuracy in coding, solid understanding of syntax, structures, and debugging practices, ability to independently solve complex problems using Python libraries like pandas, NumPy, scikit-learn, etc.
  • Data Science: 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.
  • 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.
Benefits
  • Lifelong Learning: Participate in architecture or engineering-specific tasks depending on the applied role, contribute to AI use cases development, model fine-tuning, and optimization.
  • Work-Life Balance: Demonstrate strong problem-solving skills and the ability to troubleshoot without trivial search dependency.
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.

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