Senior Machine Learning Engineer (Open for Team Lead)

Train and fine-tune models for target use cases (ASR/STT, TTS, OCR, LLM,classification, recommendation).​Prepare, clean and label datasets for experimentation and training pipelines.​Build evaluation frameworks and metrics (for example - accuracy, WER, MOS,F1, OCR precision/recall) and run systematic A/B/benchmark tests.​Analyze failures, hallucinations, bias and weak cases and proposeimprovements to models and data.​Optimize model performance for inference (quantization, LoRA/QLoRA fine-tuning, prompt optimization, decoding strategies).​Collaborate with platform engineers to package trained models for deploymentand monitoring in production.​Document experiments, datasets, evaluation results and share learnings withthe team.​Work with business teams to understand feedback, define acceptance criteriaand measure real-world performance.