About this role

Design, develop, and deploy machine learning models and AI-powered applications
Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs
Build and maintain data pipelines, model training workflows, and inference systems
Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks
Monitor model performance, conduct testing, and iterate on improvements
Document technical architectures, methodologies, and best practices
Stay current with AI/ML research and translate advancements into practical applications

Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
Proven experience in machine learning, deep learning, or AI engineering
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face)
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to present technical concepts to non-technical stakeholders

AI Engineer

Key skills