Top Tech Jobs & Startup Jobs

Lead end-to-end ML lifecycle: data collection, model development (deep learning/NLP/LLMs), deployment, monitoring, and optimization. Build MLOps pipelines (CI/CD, Docker, Kubernetes) on cloud platforms, perform data analytics and feature engineering, write production-quality Python code, and collaborate with cross-functional teams to translate business needs into scalable ML solutions.

Drive technical presales: analyze client requirements, design and architect software solutions, run product demonstrations, respond to RFPs/RFQs/RFIs, prepare proposals, and ensure smooth handover to development.

Own the platform software lifecycle: maintain forked open-source components, build tooling, CI/CD pipelines, interoperability tests, and Kubernetes/OpenShift deployments. Troubleshoot integrations, update documentation, and support cross-platform (Linux/Windows) build and deployment workflows.