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
High speed and accuracy in codingSolid understanding of Python syntax, structures, and debugging practicesAbility to independently solve complex problems using PythonFamiliarity with core libraries like pandas, NumPy, scikit-learn, etc.AI & Data Analysis Skills
Strong hands-on expertise in data manipulation and statistical analysisUnderstanding of AI / ML model building, evaluation, and deploymentComfortable working with structured and unstructured dataExperience applying models to real-world business scenariosProblem-Solving & Debugging
Ability to read and analyze logs to identify and fix issuesLogical and structured approach to troubleshootingMinimal reliance on basic Google queries to resolve errorsPractical Applications & Use Cases
Experience applying AI / ML solutions to production-grade datasetsEffectively use and modify pre-trained models to meet specific objectivesAbility to connect models to meaningful business outcomesInterview Task
Dataset-Based Task : Perform multivariate analysisModeling Task : Use pre-trained models to implement predictive or classification solutionsDebugging Task : Analyze and fix broken code snippetsLive Coding Assessment : Open-book format; Google is allowed but should not be used for basic algorithm solutionsRole-Specific Focus
AI Architect Applicants : Will be assessed on AI / ML depth, model design, and real-world use case implementationData Engineer Applicants : Will be evaluated on data transformation, data pipeline construction, and backend data handlingSkills Required
Sql, Data Science, data engineering , Data Modelling