Engineer - Food Production

Position Title : IoT Engineer (Smart Agriculture Focus) Department : Technology & Innovation Employment Type : Full-time Location : Dhar, Madhya Pradesh Salary Package : INR 6-8 LPA Reports To : Technical Director / CTO Company Overview Jital Solution Private Limited is a pioneering biotechnology company focused on sustainable innovation through Black Soldier Fly Larvae (BSFL) technology. We harness cutting-edge bioconversion processes to transform organic waste into high-quality, protein-rich animal feed and organic fertilizer, creating a profitable circular economy model. Our tech-driven operations leverage smart farming techniques and precision-based results, supporting aquaculture, poultry, and pet food industries while advancing UN Sustainable Development Goals and climate-smart agriculture initiatives. Position Overview We are seeking a dynamic IoT Engineer with expertise in smart agriculture and biotechnology applications to design, develop, and implement IoT-based monitoring and automation systems for our BSFL processing operations. The successful candidate will create intelligent solutions that optimize bioconversion processes, monitor environmental conditions, and enhance operational efficiency across our sustainable protein production facilities. Key Responsibilities IoT System Design & Development BSFL Process Monitoring :

• Design and develop IoT sensor networks to monitor BSFL lifecycle stages, growth conditions, and bioconversion efficiency
• Create real-time monitoring systems for temperature, humidity, pH levels, moisture content, and organic waste decomposition rates
• Implement automated data collection for protein content analysis and feed conversion ratios
• Develop IoT solutions for tracking larval development, harvesting schedules, and production optimization Smart Agriculture Integration :
• Design precision agriculture monitoring systems for organic waste feedstock management
• Implement sensor networks for soil health monitoring, nutrient levels, and crop condition assessment
• Create IoT-enabled systems for automated irrigation, fertilization, and environmental control in agricultural applications
• Develop drone-based monitoring solutions for large-scale agricultural operations using our organic fertilizer products Environmental Control Systems :
• Design and implement climate control IoT systems for BSFL farming facilities
• Create automated ventilation, temperature regulation, and humidity control systems
• Develop air quality monitoring solutions to ensure optimal production environments
• Implement waste heat recovery systems for energy-efficient operations Technology Development & Integration Sensor Integration & Calibration :
• Select, integrate, and calibrate various sensors including soil moisture sensors, pH meters, temperature probes, CO2 monitors, and weight measurement systems
• Design custom sensor solutions for specific BSFL bioconversion requirements
• Implement multi-sensor data fusion for comprehensive process monitoring
• Develop predictive maintenance systems for equipment monitoring Cloud Platform & Analytics :
• Develop cloud-based IoT platforms using AWS / Azure IoT Core services
• Create data analytics dashboards for real-time monitoring and decision support
• Implement machine learning algorithms for predictive analytics and process optimization
• Design mobile applications for remote monitoring and control of operations Automation & Control Systems :
• Develop automated feeding systems for optimal organic waste processing
• Create smart harvesting mechanisms for BSFL collection and processing
• Implement robotic process automation for repetitive tasks in production facilities
• Design quality control systems with automated sorting and grading capabilities Research & Innovation Technology Research :
• Research and incorporate emerging IoT and AI technologies for sustainable agriculture and biotechnology applications
• Evaluate new sensor technologies, communication protocols, and edge computing solutions
• Stay updated with latest developments in precision farming and bioconversion monitoring
• Collaborate with academic institutions and research organizations Product Development :
• Design IoT-enabled products for customers in aquaculture, poultry, and pet food industries
• Develop smart feeding systems that optimize BSFL-based protein delivery
• Create monitoring solutions for customers to track feed efficiency and animal health
• Implement blockchain-based traceability systems for supply chain transparency System Maintenance & Optimization Performance Monitoring :
• Monitor IoT system performance, connectivity, and data integrity
• Implement cybersecurity measures for IoT devices and data protection
• Troubleshoot hardware and software issues in field-deployed systems
• Optimize system performance for maximum efficiency and reliability Required Qualifications Education & Experience
• Bachelor's or Master's degree in Electronics Engineering, Computer Science, IoT Engineering, Agricultural Engineering, or related field
• Minimum 3-5 years of experience in IoT system development and deployment
• Experience in precision agriculture, biotechnology, or food processing industries preferred
• Hands-on experience with smart farming technologies and agricultural automation Technical Skills IoT & Embedded Systems :
• Proficiency in microcontroller programming (Arduino, ESP32, Raspberry Pi)
• Experience with IoT communication protocols (MQTT, LoRaWAN, WiFi, Bluetooth, Zigbee)
• Knowledge of sensor integration and analog / digital signal processing
• Experience with real-time data acquisition and processing systems Software Development :
• Programming skills in Python, C / C++, JavaScript, and embedded C
• Experience with IoT platforms (AWS IoT, Azure IoT, Google Cloud IoT)
• Knowledge of database management (SQL, MongoDB, InfluxDB for time-series data)
• Web development skills for dashboard creation (React, Node.Js, HTML / CSS) Agriculture & Biotechnology Domain :
• Understanding of precision agriculture principles and smart farming techniques
• Knowledge of environmental monitoring requirements for biological processes
• Familiarity with food safety standards and biotechnology regulations
• Understanding of sustainable agriculture practices and circular economy principles Data Analytics & AI :
• Experience with data analytics tools (Python pandas, R, MATLAB)
• Knowledge of machine learning algorithms for predictive analytics
• Experience with data visualization tools (Grafana, Tableau, Power BI)
• Understanding of statistical analysis for agricultural and biological data Soft Skills
• Strong problem-solving and analytical thinking abilities
• Excellent communication skills for cross-functional collaboration
• Project management capabilities with experience in agile development
• Ability to work in field environments and adapt to agricultural settings
• Innovation mindset with passion for sustainable technology solutions Key Performance Indicators Technical Performance :
• IoT system uptime and reliability (>

95% target)