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AI Architect
ConfidentialAhmedabad30+ days ago
Job descriptionHigh 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. 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 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 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 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 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
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
AI & Data Analysis Skills
Problem-Solving & Debugging
Practical Applications & Use Cases
Interview Task
Role-Specific Focus
Skills Required
Sql, Data Science, data engineering , Data Modelling
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Ai Architect • Ahmedabad