Senior AI Engineer

Join Amity Accentix!  

Amity Accentix, formerly known as True Voice, is a leading AI company specializing in voicebot technologies for the Thai language. Established in 2014, the company was acquired by Amity Solutions in 2024 to enhance AI initiatives. Accentix's technology stack includes speech recognition (ASR), natural language understanding (NLU), text-to-speech (TTS), and Generative AI (GenAI). The company has introduced voice technologies to Thai contact centers and enabled voice functionalities for leading enterprises across various industries.

Explore more about us at: https://accentix.ai/ 

Your impact:

To successfully implement new AI features, maintain existing systems, and support our Voice Bot platform, we require a Senior AI Engineer with expertise in managing complex, AI-driven microservices. Our platform consists of multiple components.

Your day-to-day responsibilities:

• Design and implement scalable machine learning pipelines for data ingestion, preprocessing, training, and inference.
• Train and fine-tune models using TensorFlow, PyTorch, and Scikit-learn for real-world applications
• Build and deploy RESTful APIs in Python to integrate AI models into production environments.
• Optimize inference performance for high-load systems handling 500K–1M requests per day.
• Leverage Generative AI tools like ChatGPT, Gemini, and Hugging Face for rapid prototyping.
• Design end-to-end AI architectures from data collection to model deployment on GCP environments.
• Use GCP tools (Compute Engine, Cloud Functions, Vertex AI) for model hosting and scalability.
• Automate data workflows and ensure quality with structured pipelines and validation checks.
• Collaborate with cross-functional teams to deliver AI-powered product features and tools.
• Generate AI-driven design solutions and visual renderings for technical and creative applications.
• Monitor model performance and conduct experiments to improve speed, accuracy, and reliability.
• Implement best practices in MLOps for versioning, reproducibility, and continuous deployment.
• Explore NLP and ASR technologies to expand model capability and accuracy.
• Mentor junior engineers and contribute to technical direction and code reviews.

Your ideal profile:

• Advanced proficiency in Python with clean, modular, and scalable code practices.
• Solid experience working with ML frameworks (TensorFlow, PyTorch, Scikit-learn) in production-level environments.
• Deep knowledge of machine learning fundamentals, including supervised, unsupervised, and deep learning models.
• Familiarity with modern Generative AI ecosystems and prompt engineering techniques.
• Skilled in using cloud platforms (preferably GCP) with focus on scalability and performance tuning.
• Ability to simplify complex AI concepts for stakeholders with varying technical backgrounds
• Ability to simplify complex AI concepts for stakeholders with varying technical backgrounds