Machine Learning Engineer

KEY RESPONSIBILITIES

• 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 propose improvements 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 deployment and monitoring in production.
• Document experiments, datasets, evaluation results and share learnings with the team.
• Work with business teams to understand feedback, define acceptance criteria and measure real-world performance.

KEY REQUIREMENTS:

• 3+ years of experience in Machine Learning or related role working with deep learning models.
• Solid hands-on experience with Python, PyTorch, HuggingFace Transformers.
• Practical experience preparing datasets and running training/finetuning workflows.
• Understanding of model evaluation methodologies and experience with metrics/benchmarking.
• Experience with one or more of: speech recognition, TTS, NLP/LLM, OCR/document understanding.
• Ability to analyze errors and propose iterative improvements based on data and evaluation results.
• Experience working in agile product delivery teams.
• Fluent English - spoken and written.
• Analytical thinking, problem solving, structured approach, attention to detail.
• Proactive, curious, willing to experiment and learn continuously.

COMPENSATIONS & BENEFITS:

• 13th Salary Fixed and KPI Bonus
• Premium Health Care
• 24/7 Accidental Insurance
• 100% Social Insurance
• Meal + Phone Allowance
• Yearly Medical Checkup
• 15/18 Annual Leaves
• Professional and Transparent Working Environment
• Apply Latest Financial Technology in the World

If you are referred for this position by our Employee/Recruitment Collaborator, please apply via this LINK.

If you are an internal candidate, please apply via this LINK

Otherwise, please click the Apply button as below for application