Vinsys Information Technology Inc

Compensation

Full Description

The AI/ML Consultant is responsible for designing, implementing, and optimizing artificial intelligence and machine learning solutions within enterprise environments. The role involves leveraging Red Hat (e.g., OpenShift AI, Ansible, RHEL AI) or other virtualization technologies to deploy scalable ML models and ensure integration with cloud or on-premises infrastructure. This is a Vinsys in-house/own project engagement. If interested, pl. Share a copy of your resume to hr@vinsysinfo.com along with your salary / rate expectations and the best time to reach you. Key Responsibilities: • Assess client needs and design AI/ML strategies aligned with business goals. • Build, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Implement containerized AI/ML solutions on Red Hat OpenShift or similar virtualization/container platforms (VMware, KVM, Docker, Kubernetes). • Automate deployment and lifecycle management with Red Hat Ansible or equivalent tools. • Integrate AI/ML workloads with existing enterprise systems and CI/CD pipelines. • Ensure scalability, security, and compliance of deployed models. • Provide technical consulting, solution architecture, and knowledge transfer to client teams. Required Skills and Experience: • Strong background in AI/ML algorithms, model lifecycle, and data processing. • Hands-on experience with Red Hat technologies (OpenShift, RHEL AI, Ansible Automation Platform) or other virtualization/containerization platforms. • Expertise in cloud environments (AWS, Azure, or GCP) with hybrid or multi-cloud deployment knowledge. • Proficiency in Python and ML frameworks (TensorFlow, PyTorch). • Experience with MLOps practices and tools. • Knowledge of Linux system administration and virtualization concepts. Preferred: • Red Hat Certified Specialist or Architect certifications. • Exposure to edge AI and GPU-accelerated workloads. • Experience consulting in government or enterprise IT environments.