AI Engineer

Responsibilities

• 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 Tensor Flow, 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