AI/Data Professionals - Career Accelerator Program at Babban Gona

Responsibilities:

Business Intelligence / Data Analytics:

• Develop and maintain real-time dashboards and reports to analyse data and provide actionable insights.
• Implement data pipelines and ETL processes to ensure data quality and availability.
• Utilise machine learning and statistical techniques to predict trends and identify opportunities.
• Support data-driven decision-making.

AI Model Development and Deployment

• Design, develop, and deploy machine learning models and AI tools to address business challenges.
• Conduct data preprocessing, feature engineering, and model training.
• Evaluate model performance and optimise for accuracy and efficiency.
• Deploy and maintain AI models in production environments.

Third-Party Software Deployment:

• Identify and evaluate third-party software solutions to support organisational needs.
• Manage the deployment, integration, and maintenance of third-party software applications.
• Ensure proper software licensing and compliance.

Qualifications 

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• Proficiency in data analysis tools and languages (e.g., Python, R, SQL).
• Experience with machine learning algorithms and techniques.
• Understanding of data visualisation tools (e.g., Power BI, Tableau).
• Experience deploying machine learning models.
• Experience deploying third party software.
• Strong analytical and problem-solving skills, with the ability to utilise metrics and data for a deep understanding.
• Excellent communication skills, capable of explaining complex data insights clearly.
• A passion for Babban Gona's mission, demonstrating a genuine desire to contribute to our impact through data-driven solutions.
• A strong desire to learn and grow in a cutting-edge field, showing curiosity and a love for learning.
• Ability to work independently and collaboratively, taking ownership of data initiatives.

Preferred Qualifications:

• Experience with cloud computing platforms (AWS, Azure, GCP).
• Familiarity with agile development methodologies.
• Experience working with large datasets.
• Experience in the agricultural technology space.