Intern (Full Stack Development - AI/ML/IOT)
As an Intern in Full Stack Development at AgroLogi, a stealth start-up specializing in Data, AI/ML, and Digital Apps, you will have the exciting opportunity to contribute to building autonomous farm management app modules. Your role will involve utilizing open standard hardware, IOT sensors, computer vision, and machine learning, while leveraging Google Cloud and Open Source Platforms. In this position, you will be responsible for researching various topics within the Agri-tech domain, Robotics, and IOT to support the design and architecture of the SAAS product and edge devices. Additionally, you will play a key role in supporting knowledge management and company branding activities. This internship offers flexible working hours with specific short-term assignments, focusing on full-stack development of modules in the Farm Sense AI & IOT application for autonomous farm management and market integration. Key Skills Required for this role include proficiency in HTML, CSS, JavaScript, python (Django, Flask), and SQL. You should have a basic understanding of open standard hardware such as Raspberry Pi and Arduino, along with hands-on experience in lab projects. Familiarity with React.js, databases (preferably Postgres), data model design, cloud computing, machine learning, artificial intelligence concepts, and DevOps principles is essential. An ability to learn emerging technologies is also expected. Key Competencies Expected from you are Accountability, Problem Solving, Adaptability, and Collaboration. The Interview Process consists of three rounds - Design Thinking Assessment, Coding Assessment, and Fitment evaluation through a video or in-person interview. This Internship opportunity has a contract length of 6 months, and the benefits include a flexible schedule and the ability to work from home. Weekend availability is required for this position. If you are interested in this role, you should be willing to participate in take-home Design Thinking Assessments and Coding Assignments in the interview process. A Bachelor's degree is preferred for this position. The ideal candidate for this role should have at least 1 year of experience in SQL, Artificial Intelligence/Machine Learning, JavaScript, Raspberry Pi, and Python. A willingness to travel up to 25% is preferred, and the work location is in person. The Application Deadline for this position is 15/08/2025, with an Expected Start Date of 01/09/2025.,
