AI/ML Engineer

Role: AI/ML Engineer

Location: Dearborn, MI (Onsite)
Experience: 6+ Years (Mandatory)
Employment Type: W2 Contract

Mandate: AI&ML Concepts, Artificial Intelligence, Docker, GIT, Google Cloud-Machine Learning, Google Vertex AI, Kubernetes, ML Ops, Machine Learning, Terraform

Job Summary:

We are seeking an experienced AI/ML Engineer to design, develop, and deploy scalable machine learning models and AI solutions leveraging Google Cloud Platform (Google Cloud Platform) and Vertex AI. The ideal candidate will possess deep expertise in Machine Learning, MLOps, and Cloud Infrastructure with hands-on experience in Docker, Kubernetes, Terraform, and Git. This role requires close collaboration with cross-functional data, software, and operations teams to deliver enterprise-grade AI/ML solutions.

Required Skills & Experience:

• 6+ years of hands-on experience in AI/ML model development and deployment.
• Strong understanding of Machine Learning and AI concepts supervised/unsupervised learning, deep learning, and model evaluation.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.
• Hands-on experience with Google Cloud Platform (Google Cloud Platform) services Vertex AI, BigQuery, Dataflow, Cloud Storage, AI Platform.
• Experience in MLOps frameworks, CI/CD pipelines, and model lifecycle management.
• Strong command of Docker and Kubernetes for model containerization and orchestration.
• Proficiency in Terraform for infrastructure automation.
• Experience with Git/GitHub for version control and collaborative development.
• Strong analytical and problem-solving skills with a focus on scalability and performance.
• Excellent communication and documentation skills.