AI Engineer

Pivotal Solutions Inc

United States

14 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Computer Programming Data Cleansing Python (Programming Language) Machine Learning NumPy Tensorflow Google Cloud Pytorch

+10 more

Deep Learning Pandas Containerization Scikit Learn Kubernetes Information Technology Deployment Automation HuggingFace Machine Learning Operations Docker

Job description

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

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, Google Cloud Platform) 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.