Company Description SustLabs is housed inside the IIT Bombay campus. The company has built an OS for smart meters, and its AI-powered bot provides detailed insights into energy consumption, enabling users to achieve concrete energy efficiency. We detect potential electrical fires, uncover energy usage patterns, and promote substantial savings, leading the shift toward smarter, sustainable homes. About the Role We’re looking for freelance UI/UX Designers to jump in and help us bring clarity, delight, and polish to our product interfaces. You'll work closely with product, engineering, and brand teams to design intuitive and beautiful user interfaces for our web and mobile apps, built on top of powerful IoT systems. This is a critical opportunity for someone who wants to shape the user experience and take end-to-end ownership of the visual interface. What You'll Do: - Translate product requirements and rough wireframes into high-fidelity UI designs - Design clean, modern, and responsive interfaces across web and mobile platforms - Create and maintain design systems, components, and style guides - Collaborate closely with engineers to ensure smooth handoff and design fidelity - Push for clarity, consistency, and elegance in every screen - Iterate quickly based on feedback and real-world constraints Tools & Skills: - Design Tools: Figma (must), FigJam or similar - Style: Strong visual design fundamentals—layout, colour, typography, hierarchy - Workflow: Familiar with design systems, developer handoff, and quick iteration cycles - Bonus: Experience designing dashboards, data visualizations, or IoT interfaces - Extra Bonus: You’ve built interactive prototypes and love sweating the micro-interactions What You Bring: - 3+ years of experience in UI or product design - A sharp eye for detail and a clean, modern design aesthetic - Ability to move quickly and independently, while staying aligned with product goals - A strong portfolio showcasing real product work (not just Dribble shots) - Contract-ready: able to commit full-time for 3 months, with flexibility for extension if it’s a mutual fit - Bonus: You enjoy working with engineers who speak in API endpoints and sensor data Why Us: - Because we are stopping electrical fires globally!! - Be part of a team where great work and great vibes go hand in hand! - High ownership, no micromanagement, and an open feedback culture - Clear deliverables, rapid cycles, and the chance to leave a strong visual imprint - Work with some of the best minds in a culture that values ownership, impact, and joy - Build at the intersection of hardware and intelligence, where the physical world meets data
Company Description SustLabs is housed inside the IIT Bombay campus. The company has built OS for Smart-meters and their AI-powered bot provides detailed insights into energy consumption, enabling users to achieve concrete energy efficiency. We detect potential electrical fires, uncover energy usage patterns and promote substantial savings, leading the shift toward smarter, sustainable homes. About the Role We are looking for a Machine Learning Engineer to join our high-performing team building the intelligence behind next-generation IoT energy systems. You will not only design and train ML models, but also deploy them in production environments where reliability, scale, and latency matter. If you love solving hard problems, thrive in startup environments, and want your work to directly impact homes across India and the US, we’d love to talk with you. What you’ll do Build, train, and optimize ML models for time-series and signal data from IoT devices. Deploy models to production on cloud and edge environments. Collaborate with firmware and backend engineers to make ML outputs actionable. Evaluate and select features, test hypotheses, and run controlled experiments. Maintain scalable ML pipelines (data preprocessing, training, monitoring, retraining). Translate research ideas into deployable code while balancing accuracy vs efficiency. Contribute to documentation, testing, and best practices for ML in production. Tech stack Languages : Python (NumPy, Pandas, Scikit-Learn), PyTorch / TensorFlow ML Ops & Deployment : Docker, Kubernetes, FastAPI, MLflow, TensorRT/ONNX (for edge) Data Handling : Kafka, Airflow, SQL/NoSQL databases Cloud : AWS / GCP with CI/CD (GitHub Actions, Terraform optional) What you bring 2–4 years of experience as an ML engineer (or applied ML researcher). Proven ability to train and deploy ML models into production environments. Strong knowledge of time-series / signal processing (preferred for IoT data). Good coding practices and debugging skills—you care about code quality. Ability to work cross-functionally with hardware, firmware, and backend teams. An experimental mindset with the discipline to validate with data. Bonus: experience with anomaly detection, energy data, or edge ML. Why join us? Work at the intersection of IoT, energy, and AI —real impact, not toy models. See your models live in thousands of homes, making electricity safer and smarter. Join a no-ego, high-trust team that values curiosity and engineering excellence. Build things that last and matter—while having fun along the way. Just a bunch of people stopping electrical fires globally!