We are seeking a motivated and curious AI/ML Trainee Developer to join our team. This role is designed for fresh graduates or early-career professionals with a strong interest in Artificial Intelligence and Machine Learning. The trainee will work under the guidance of senior developers and project leads to learn, design, and implement AI/ML solutions that solve real-world problems across diverse domains such as healthcare, logistics, SaaS platforms, and enterprise applications. Key Responsibilities Assist in the design, development, and testing of AI/ML models for various projects. Perform data preprocessing, cleaning, and feature engineering to prepare datasets for training. Explore and apply standard ML algorithms (classification, regression, clustering, anomaly detection, NLP, etc.). Work with Python, TensorFlow, PyTorch, Scikit-learn, and NLP libraries to build prototypes and proof-of-concepts. Collaborate with the engineering team to integrate ML models into production systems (APIs, web apps, or mobile apps). Conduct literature reviews and explore state-of-the-art AI techniques to suggest innovative solutions. Assist in evaluation and performance tuning of ML models. Document research findings, experiments, and results for knowledge sharing within the team. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field. Strong foundation in Python programming . Basic knowledge of Machine Learning algorithms and statistics. Understanding of data structures, algorithms, and problem-solving techniques . Familiarity with SQL and databases for handling datasets. Exposure to ML libraries/frameworks like NumPy, Pandas, Scikit-learn (hands-on projects a plus). Good communication skills and eagerness to learn and adapt quickly . Preferred (Nice-to-Have) Skills Familiarity with deep learning frameworks (TensorFlow/PyTorch/Keras). Understanding of Natural Language Processing (NLP) concepts. Knowledge of cloud platforms (Azure, AWS, GCP) for AI/ML deployment. Experience with version control (Git) and working in collaborative environments. Exposure to LangChain, RAG, or LLMs (bonus if familiar). Personal Attributes Strong analytical mindset with a passion for AI/ML research and experimentation . Ability to work in a team-oriented, fast-paced environment . Self-motivated, with strong curiosity to explore new technologies and frameworks . Willingness to take on challenges and solve real-world problems using AI. Growth Opportunities Hands-on mentorship from senior AI/ML engineers. Real-world exposure to AI in healthcare, logistics, SaaS, and enterprise products . Opportunity to transition into AI Engineer / Data Scientist roles based on performance. Job Type: Full-time Pay: ₹15,321.56 - ₹50,004.38 per month Work Location: In person
Job Title: Embedded Engineer Location: Dwarka, Delhi (Work at Office) Experience: Minimum 2 years in Embedded Engineering Employment Type: Full-Time Job Description We are seeking a skilled Embedded Engineer with experience in BLE-based IoT systems, Electronic Shelf Labels (ESL), and embedded firmware development using platforms such as Nordic Semiconductor (nRF52/nRF53) or Silicon Labs (EFR32). The ideal candidate will work on ESL Access Points, BLE communication stacks, and antenna-array–based asset tracking features that enable precision location and access-controlled device interactions. This is a hands-on development role, ideal for someone passionate about firmware design, wireless communication, and real-time embedded systems. Responsibilities Design, develop, and test embedded firmware and hardware for ESL devices, Access Points, and BLE infrastructure. Develop firmware for Nordic nRF52/nRF53 and Silicon Labs EFR32BG platforms using C/C++ and relevant SDKs. Implement BLE 5.x communication, including direction finding (AoA/AoD), RSSI-based localization, and mesh networking. Work on antenna array calibration and signal processing for indoor positioning and asset tracking applications. Collaborate on role-based access policy enforcement at device and network level (e.g., admin, technician, viewer access). Integrate e-paper displays, sensors, and communication modules for smart ESL deployment. Interface with Raspberry Pi or ARM-based SBCs acting as ESL gateways or controllers. Conduct firmware optimization for low-power and long-battery-life devices. Collaborate cross-functionally with hardware, mobile, and cloud teams for end-to-end feature delivery. Create documentation for system architecture, firmware workflows, and test cases. Requirements Bachelor’s degree in Electronics, Electrical, Computer Science, or related field. Minimum 2 years of hands-on embedded development experience. Proficiency in C/C++ and experience with Nordic SDK (nRF Connect) and/or Silicon Labs Simplicity Studio. Experience implementing BLE communication stacks and understanding of GATT, GAP, and advertising protocols. Familiarity with antenna arrays, direction-finding techniques, and BLE AoA/AoD localization. Knowledge of communication protocols: UART, SPI, I2C, and GPIO. Working experience with Raspberry Pi or similar SBCs for edge computing or IoT gateway applications. Solid debugging skills using Segger J-Link, Keil, IAR, or equivalent tools. Preferred Skills Hands-on experience with ESL (Electronic Shelf Label) or BLE beaconing systems. Knowledge of RTOS (FreeRTOS/Zephyr) or embedded Linux environments. Understanding of RF tuning, antenna calibration, and signal integrity optimization. Familiarity with BLE Mesh, Direction Finding, or Asset Tracking SDKs from Nordic/Silicon Labs. Exposure to IoT protocols (MQTT, CoAP, REST API) and cloud integration workflows. Experience implementing secure access control policies at firmware or application level. Ability to read schematics and work closely with PCB design engineers. Benefits Competitive salary based on experience. Opportunity to work on next-generation ESL and BLE asset-tracking Technologies. Hands-on experience with Nordic and Silicon Labs BLE platforms. Modern IoT lab setup with antenna array testing and power measurement tools. Professional growth through R&D-driven development, innovation. Job Types: Full-time, Permanent Pay: ₹200,000.00 - ₹1,000,000.00 per year