Ccube is a rapidly growing digital technology service provider, partnering with numerous Fortune 500 companies to leverage disruption for competitive advantage through innovative digital strategies. We specialize in transforming customer experiences, data analytics, artificial intelligence, platform and product engineering, cloud infrastructure, and security, assisting clients in rapid innovation for expansion, digital product development, service platform establishment, and enhancing data-driven performance.

Job Opportunity: AI/ML Engineer

Locations: Wilmington, DE & Atlanta, GA (Onsite from Day 1. Hybrid 3 Days a Week)

Job Type: Long Term, W2/Full Time Highly Preferred

We are seeking talented AI/ML Engineers with experience in data engineering, feature engineering, and MLOps.

Key Responsibilities:

• Design and architect scalable AI platforms to develop and deploy AI solutions using ML and Deep Learning techniques.
• Collaborate with business stakeholders, data scientists, engineering teams, product teams, and other key partners to gather functional and non-functional requirements for AI use cases on the AI platform.
• Evaluate emerging technologies and tools in the AI domain and conduct fitment analysis for enterprise AI platform and capabilities strategy.
• Define and implement AI/ML architecture best practices, frameworks, and standards.
• Lead AI/ML infrastructure setup, including cloud services selection, data pipelines, and model deployment.
• Ensure robustness, reliability, and scalability of AI/ML solutions in production environments.
• Design and implement data governance, security, and compliance measures for AI/ML platforms.
• Optimize AI/ML workflows for performance, cost efficiency, and resource utilization.
• Provide technical leadership and mentorship to AI/ML development teams.
• Communicate AI/ML architecture decisions and strategies to stakeholders and executives.

Key Requirements:

• Proven experience with AI/ML platforms.
• Deep understanding of ML algorithms, Deep Learning architectures, models, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Expertise in cloud platforms (e.g., GCP, Azure) and their AI services.
• Strong knowledge of model development life cycle, software engineering principles, and data engineering principles.
• Experience with containerization and orchestration tools both on-prem and cloud (e.g., AKS, GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models.
• Ability to design and optimize distributed computing systems for AI/ML workloads.
• Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts.
• Excellent problem-solving skills and ability to address complex technical challenges.
• Effective communication skills to collaborate with cross-functional teams and stakeholders.

Benefits:

Actual compensation varies based on years of experience, specialized skill sets, and unique qualifications. Ccube offers various benefits such as subsidized medical, dental, vision insurance, and more.

Ccube is driven by a mission to innovate and excel. Join us and leverage your skills to push the boundaries of what's possible with AI and ML.