INT-95A2717 | ASSOCIATE AI ENGINEER

We are seeking for an Associate AI Engineer who will contribute to the development and deployment of AI solutions across our organization. The role combines building and fine-tuning machine learning models with integrating existing AI models (such as GPT) into applications and services. You will work closely with senior developers to deliver scalable, production-ready AI systems. 

• You’ll be interacting with key players such as C-level executives from enterprise-level organizations which can expand your skills and network.
• Making sound decision-making and flexibility to ensure team dynamics and productivity.
• Hybrid work setup
• Competitive salary and benefits
• HMO + free dependent
• Access to KMC's exclusive pantry (MadMax Coffee, Fresh Fridge)
• Diverse learning & growth opportunities
• Accessible Cloud HR platform (Sprout)
• Above standard leaves

• Assist in training, fine-tuning, and evaluating machine learning models for NLP, computer vision, or other use cases.
• Leverage large language models (e.g., GPT, Claude, Llama) to build intelligent applications through APIs and fine-tuning.
• Develop and deploy AI-powered services as RESTful APIs, microservices, or internal tools.
• Preprocess, clean, and structure datasets for training and inference.
• Conduct experiments with different algorithms, architectures, and model parameters.
• Support the deployment of models into production environments and monitor their performance.
• Work with cross-functional teams (data, engineering, product) to integrate AI features into business solutions.
• Stay updated on the latest AI/ML trends and propose improvements using new tools, libraries, or techniques.

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field. 
• Internship, academic projects, or hands-on experience in AI/ML development. 
• Proficiency in Python and familiarity with ML/AI libraries (scikit-learn, TensorFlow, PyTorch).
• Understanding of machine learning fundamentals (regression, classification, clustering, neural networks).
• Experience (academic or practical) with large language models (LLMs) such as GPT, including prompt engineering or fine-tuning.
• Familiarity with REST APIs, FastAPI, or Flask for exposing models as services.
• Knowledge of SQL and data wrangling tools (Pandas, NumPy).
• Basic understanding of cloud platforms (AWS, Azure, GCP) or containerization (Docker).
• Strong problem-solving and analytical skills.
• Eagerness to learn new technologies and research advancements.
• Ability to work collaboratively in a team environment.
• Good communication skills to explain technical concepts to non-technical stakeholders.

• Experience in Google Collab and Hugging Face.