Senior AI Engineer

Responsibilities

• Design, develop, and deploy advanced AI and machine learning models to solve complex business problems across diverse domains.
  

• Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to integrate AI solutions into production systems.
  

• Optimize AI pipelines for performance, scalability, and reliability, ensuring efficient processing of large-scale datasets.
  

• Drive innovation by researching and implementing cutting-edge AI techniques, frameworks, and tools to enhance product capabilities.
  

• Mentor junior engineers and provide technical guidance on AI best practices, model development, and deployment strategies.
  

• Monitor and maintain AI systems in production, ensuring robust performance and rapid response to issues.

Requirements

Qualifications

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  

• 5+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role, with a proven track record of delivering impactful AI solutions.
  

• Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to-end AI development lifecycle, including data preprocessing, model training, and deployment.
  

• Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-Learn, Hugging Face).
  

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) for deploying AI models.
  

• Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
  

• Strong communication and collaboration skills, with experience working in agile, cross-functional teams.