Job Description
As a Senior AI Engineer, you will take ownership of end-to-end AI development — from idea to deployment. You’ll work closely with cross-functional teams to bring intelligence into real-world applications, with a strong focus on initiative, impact, and continuous improvement.
Your key responsibilities:
– Lead AI Projects: Drive research, development, and deployment of AI models (ML/DL/NLP/LLM), ensuring production-readiness.
– Own Your Work: From requirement clarification to final deployment — you are expected to work autonomously with minimal supervision.
– Stay Ahead: Explore new architectures, tools, and techniques to bring cutting-edge solutions to the team.
– Collaborate Across Teams: Work with product managers, software engineers, and business stakeholders to align AI work with real-world needs.
– Contribute to AI Strategy: Help shape the company’s AI roadmap with your technical insights and experience.
– Mentor Juniors: Support the growth of less-experienced teammates through guidance and code reviews.

Requirements
– From 4 years of experience as an AI Developer
– Proficient in Python and common AI/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.).
– Experience in building and training models for user profile classification for smart conversion (visitors to users), smart promotion campaigns, and churn analysis is a strong plus.
– Solid understanding of LLM applications, NLP pipelines, or deep learning.
– Experience building and deploying production-grade AI systems (APIs, CI/CD, Docker, Cloud, etc.). – Comfortable with data preprocessing, feature engineering, and model optimization.
– Strong problem-solving skills and a growth mindset — you actively seek feedback, learn, and improve.
– Excellent communication skills; able to discuss technical concepts with both technical and non-technical stakeholders.

Language
– English (Good)