Senior Machine Learning Engineer / Technical Lead

Job Description Roles & Responsibilities Responsibilities: Lead and mentor a team of highly talented junior ML engineers through: Code reviews, design reviews, and technical direction Enforcement of strong software engineering and ML best practices Design, deploy, and operate scalable AI systems with a focus on reliability and performance Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice) Own model performance end-to-end, combining evaluation, observability, and hardware optimization: Build evaluation pipelines (benchmarks, regression testing, LLM-as-judge) Implement deep observability (tracing, latency, error tracking) Optimize GPU utilization (multi-GPU serving, batching, quantization, memory tuning) Continuously improve throughput, latency, and cost efficiency Architect and manage GPU infrastructure: Model serving, load balancing, and scaling strategies Hardware-aware deployment and performance tuning Build and maintain robust MLOps pipelines: Model/version management, CI/CD, automated testing, and rollback strategies Monitoring and feedback loops for continuous improvement Engage directly with clients and stakeholders to: Gather and clarify business requirements Translate non-technical needs into well-defined technical problems Communicate solutions, trade-offs, and progress through clear documentation, reports, and proposals Contribute hands-on to system design, implementation, debugging, and production incident resolution Company Industry IT - Software Services Department / Functional Area IT Software Keywords Senior Machine Learning Engineer / Technical Lead Get real-time job updates only on our App