About the Job
Key responsibilities:A. AI Model Development & Evaluation
1. Design, train, and evaluate basic machine learning models for regression, classification, and clustering problems.
2. Measure performance using accuracy, precision, recall, F1-score, and confusion matrix.
3. Experiment with various datasets and algorithms to derive actionable insights.
B. Data Preparation & Analysis
1. Clean, transform, and visualize datasets using Python and analytical libraries.
2. Handle multiple data formats (CSV, JSON, SQL databases) and ensure data quality.
3. Generate visual insights and reports to support decision-making.
C. AI Workflow Automation
1. Use n8n to build and automate AI workflows, integrating APIs, data pipelines, and triggers (e.g., chatbots, sentiment analysis).
2. Collaborate with teams to automate repetitive analytical or reporting tasks.
3. Explore automation tools like Zapier or Make (Integromat) for process enhancement.
D. Data Engineering Support
1. Work with SQL and NoSQL databases (e.g., MongoDB) for structured and unstructured data.
2. Assist in developing and maintaining ETL processes and API-based data integration.
E. Business Problem Solving
1. Understand business challenges and translate them into AI-driven solutions.
2. Interpret model outputs and communicate findings to non-technical stakeholders.
3. Support projects in domains like forecasting, recommendations, chatbots, NLP, and image recognition.
F. Collaboration & Documentation
1. Work cross-functionally with product, tech, and analytics teams.
2. Maintain organized documentation of workflows, models, and automation processes.
3. Communicate technical insights effectively through reports and visual storytelling.
Number of Openings
1 openingsPerks of this Jobs
Health insurance Informal dress code
Skills
Google AdWords, Search Engine Optimization (SEO), Machine Learning, Data Science, Neural Networks, English Proficiency (Written), Natural Language Processing (NLP), Deep Learning, Artificial intelligence, Social Media Marketing, Python, Google Analytics, Search Engine Marketing (SEM), Digital Marketing, Data Structures
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