Job Title

Company DescriptionINNOFarms.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 OverviewWe 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 processesRequired 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 processesPreferred 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/MLEducational 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 algorithmsWhat 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 letterDuration3-5months (with possibility of extension(Full time)LocationGurugram –On-site