CryptoChakra.com is a rapidly evolving cryptocurrency analytics and education platform dedicated to empowering users with data-driven insights and next-generation tools. Currently in its development phase, we are building scalable AI infrastructure to support advanced analytics, real-time market predictions, and robust educational resources. By integrating artificial intelligence with blockchain technology, our platform aims to transform raw data into actionable intelligence for crypto enthusiasts and investors worldwide.

Our mission is to deliver secure, reliable, and scalable data solutions that fuel AI-driven innovations and foster financial literacy. As we expand, we remain committed to technical excellence, transparency, and democratizing access to cutting-edge crypto analytics.

Role Description

Position: Data Analyst (AI Infrastructure) – Remote

Employment Type: Internship or Entry-Level (Paid or unpaid, depending on suitability and project requirements)

Key Responsibilities:

AI Data Pipeline Management: Assist in building, maintaining, and optimizing data pipelines that feed AI and machine learning models with clean, structured, and accurate data.
Data Quality Assurance: Monitor, validate, and preprocess large datasets to ensure data integrity and reliability for AI training and inference.
Infrastructure Collaboration: Work closely with data engineers and AI teams to translate computational needs into scalable infrastructure solutions, leveraging cloud platforms (AWS, Azure, Google Cloud) and automation tools.
Data Transformation & Integration: Support the development and maintenance of data warehouses, data lakes, and integration frameworks to streamline data flow for analytics and AI workloads.
Performance Monitoring: Track and report on the performance of data infrastructure, identifying bottlenecks and opportunities for optimization.
Process Improvement: Document workflows, automate repetitive tasks, and implement best practices for data governance and observability.

Learning Outcomes:

Hands-on experience with AI/ML data workflows, cloud infrastructure, and big data tools.
Exposure to automated data validation, ETL processes, and data observability platforms.
Mentorship from experts in AI infrastructure, data engineering, and blockchain analytics.

Qualifications

Core Requirements:

Technical Proficiency: Strong foundation in Python, SQL, and data manipulation libraries (Pandas, NumPy).
Data Management Skills: Experience with data cleaning, preprocessing, and quality assurance for AI/ML applications.
Cloud & Automation: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and automation tools (Terraform, Ansible, Docker, Kubernetes) is a plus.
Analytical Mindset: Ability to troubleshoot data anomalies, optimize data flows, and collaborate with cross-functional teams.
Remote Work Ethic: Self-motivated with strong time management and communication skills for remote collaboration.
Academic Background: Pursuing or holding a degree in Data Science, Computer Science, Engineering, or a related field.

Preferred Assets:

Knowledge of data validation and observability tools (Great Expectations, Monte Carlo, Apache Griffin).
Experience with version control (Git) and agile development methodologies.
Interest in blockchain technology, cryptocurrency markets, or decentralized applications.