Senior-Manager AI Engineer

About the Company

Pantavanij is one of the largest eProcurement Platform Providers in South East Asia. We provide cloud-based eProcurement solutions to large enterprise customers across industries. Our business is growing rapidly. www.pantavanij.com

Responsibilities

• Design, develop, and deploy NLP and computer vision models and algorithms.
• Analyze large datasets of text, images, and videos to extract insights and inform model development.
• Apply deep learning techniques for document understanding, document classification, text classification, text summarization, and sentiment analysis.
• Integrate AI models and systems into existing business processes and IT infrastructure.
• Lead AI projects and provide technical guidance to junior engineers and other team members.
• Implement scalable and efficient AI solutions using frameworks such as TensorFlow, PyTorch, or similar.
• Ensure the quality, accuracy, and reliability of AI models and systems through rigorous testing, validation, and experiments.
• Collaborate with stakeholders, data scientists, and software engineers to understand requirements and deliver effective AI solutions.

Qualifications

• Bachelor’s or master’s degree in computer science, mathematics, engineering, or a related field (or equivalent experience).
• 3+ years of experience in applying AI and machine learning to real-world problems and proven experience developing and deploying machine learning models.
• Strong understanding of machine learning algorithms, neural networks, natural language processing, and computer vision.
• Expertise in programming languages such as Python, Java, or R.
• Proficiency in machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong analytical and problem-solving skills; excellent communication and collaboration skills.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, GCP) for deploying AI models.
• Experience with MLOps practices for model development and deployment.
• Experience with building and managing data pipelines.

Additional Information

• Working Location: Lumpini Tower, 31th floor (onsite). https://goo.gl/maps/7THUYTnxinZKR82H9
• Employment type: Full-time.