-Develop and maintain backend services using FastAPI & REST APIs. -Integrate WebSockets for live data updates. -Hands-on with LLM API integrations. -Implement messaging with Redis, Kafka, or AWS SQS -Knowledge of microservices, Docker/Kubernetes
-Proficiency in Python and C/C++ (mandatory). -Strong expertise in mathematical modeling, optimization algorithms, and computational techniques. -Create simulation models for testing and validation. -Hands-on experience with tools like Gurobi, CPLEX.
-Identify and target clients across mobility, logistics, EV, and automotive sectors. -Handle end-to-end sales cycle. - Develop and execute strategic sales plans to meet revenue targets. -Build strong relationships with CXOs and decision-makers.
-Experience in building end-to-end ML pipelines and deploying models in production. -Experience with MLOps tools such as MLflow, Airflow, or Docker/Kubernetes. -Exposure to probabilistic modelling, Bayesian inference, or time-series forecasting.