Master's or PhD in Computer Science, AI, Machine Learning, or related field.
5+ years of experience as an AI Engineer or similar role delivering impactful AI solutions.
Expertise in AI/ML algorithms and deep learning frameworks like TensorFlow and PyTorch.
Strong programming skills in Python with experience in libraries like NumPy, Pandas, and Scikit-Learn.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
Excellent problem-solving skills translating business needs into technical solutions.
Strong communication skills and experience in agile, cross-functional teams.
Responsibilities
Design, develop, and deploy AI and machine learning models for complex business challenges.
Collaborate with teams to integrate AI solutions into existing production systems.
Optimize AI pipelines for performance, scalability, and reliability with large datasets.
Research and implement cutting-edge AI techniques and tools to enhance products.
Mentor junior engineers on AI best practices and deployment strategies.
Monitor AI systems in production to ensure performance and quick issue resolution.
Benefits
Health, dental, and vision insurance.
Flexible work hours and remote work options.
Professional development opportunities and training.
Generous paid time off and holiday schedule.
Retirement plan with employer contribution.
Full Job Description
Job Description 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.
