Data Analyst Intern (AI Engineer)

Location: Onsite (INNOFarms.AI Gurugram Office)

Duration: 3–5 Months

Join Immediately

Stipend: Paid Internship

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INNOFarms.AI is a global AI SaaS & Robotics company building the intelligent digital operating backbone for AgriFood enterprises and climate-resilient future food systems.

We use AI, Data, Computer Vision, and Cloud Infrastructure to help farms operate like modern tech companies — automating operations, forecasting outcomes, optimizing growth cycles, and connecting farms to the right markets.

You can think of us as “AWS for future food systems.”

Our mission is simple:

Make every farm intelligent, efficient, and profitable.

We are looking for a Data Analyst Intern (AI Engineer) to join our data & AI team and work on real production-grade analytics and AI systems .

This role is focused on data pipelines, analytics, forecasting, and applied machine learning , with exposure to computer vision and cloud-deployed systems.

If you enjoy working with data end-to-end — collecting, cleaning, analyzing, modeling, and deploying insights — this role is for you.

• Build and maintain automated data collection and ingestion pipelines
• Perform data cleaning, validation, and preprocessing on structured datasets
• Design and implement scalable ETL workflows
• Analyze trends, seasonality, and patterns in time-series data
• Build short- and medium-term forecasting models
• Generate analytical reports and structured outputs for decision-making
• Apply machine learning techniques for prediction and classification tasks
• Work with computer vision methods for image-based data analysis
• Design and manage SQL database schemas
• Build APIs for data access and system integration
• Deploy data pipelines and models on cloud platforms
• Monitor, debug, and optimize system performance, reliability, and accuracy
• Collaborate with senior engineers and data scientists to improve system workflows

• Strong Python programming skills with clean, maintainable code
• Experience with data analysis and visualization (pandas, NumPy, Matplotlib/Seaborn)
• Knowledge of web scraping and data extraction techniques
• Solid understanding of SQL and database fundamentals
• Understanding of machine learning and time-series analysis
• Familiarity with computer vision fundamentals (OpenCV or similar)
• Experience or exposure to ETL pipelines, automation, and scheduling
• Familiarity with Git/GitHub
• Basic cloud knowledge (AWS / Azure / GCP)
• Willingness to learn, debug, and take ownership of systems

• Final-year students or recent graduates in Computer Science, AI/ML, Data Science, or related fields
• Strong programming and analytical fundamentals
• Academic projects, coursework, or prior internship experience in data science or machine learning is preferred

• Hands-on experience with real-world AI & data systems in agriculture
• Mentorship from experienced engineers and data scientists
• Strong exposure to data pipelines, forecasting, and applied AI
• Opportunity to work on production-grade systems , not toy projects
• Certificate of completion and recommendation letter upon successful completion
• Opportunity to convert to a full-time role based on performance

• Duration: 3–5 months (with possibility of extension or full-time conversion)
• Location: Gurugram, Haryana – On-site
• Schedule: Monday–Friday, 10:00 AM – 6:00 PM