Job Title

Company Description INNOFarms.AI is a global AI SaaS and Robotics company dedicated to transforming AgriFood enterprises and enabling climate-resilient future food systems. Leveraging advanced AI, Robotics, and IoT technologies, the company builds intelligent digital operational frameworks aimed at making agriculture smarter, efficient, and more profitable. Role Overview We are seeking a motivated AI Engineer Intern to join our growing team. This role offers hands-on experience in building AI/ML pipelines, working with computer vision systems, and developing cloud-based solutions. You'll work directly with our engineering team on real projects that impact our product. Key Responsibilities - Maintain CI/CD pipelines for ML models and AI applications on cloud platforms - Build data scraping solutions to collect and process datasets from various sources - Implement computer vision algorithms for agricultural image analysis - Create and optimize data pipelines for ETL (Extract, Transform, Load) operations - Perform data analysis to extract insights and support decision-making - Write clean, efficient, and well-documented Python code - Collaborate with the team on model deployment and monitoring - Assist in automating workflows and improving development processes Required Skills & Qualifications - Python Programming: Strong proficiency in Python with experience in libraries such as pandas, NumPy, and scikit-learn - Computer Vision: Basic understanding of computer vision concepts and frameworks (OpenCV, PIL, or similar) - Cloud & CI/CD: Familiarity with cloud platforms (AWS/GCP/Azure) and CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or similar) - Data Analysis: Ability to analyze datasets, identify patterns, and visualize results - Data Scraping: Experience with web scraping tools and techniques (BeautifulSoup, Scrapy, Selenium) - Pipeline Development: Understanding of data pipeline architecture and ETL processes Preferred Qualifications - Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) - Knowledge of Docker and containerization - Familiarity with version control systems (Git) - Understanding of MLOps practices - Experience with data visualization tools (Matplotlib, Seaborn, Plotly) - Exposure to SQL and database management - Previous internship or project experience in AI/ML Educational Requirements - Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field - Strong academic record with relevant coursework in machine learning, data structures, and algorithms What We Offer - Hands-on experience with real-world AI/ML projects - Mentorship from experienced engineers and data scientists - Opportunity to work on innovative agricultural technology solutions - Flexible work environment - Potential for full-time conversion based on performance - Certificate of completion and recommendation letter Duration 3-5months (with possibility of extension(Full time) Location Gurugram –On-site