AI-ML Lead Engineer/Architect (Gen AI/MLops)
Wilmington, DE (Onsite Day1. Hybrid 3 Days a Week)
Long Term
W2/Full Time Highly Preferred
Looking for AI/ML Engineer/with experience in data engineering, feature engineering and MLOps
Key Responsibilities:
- Design and architect scalable AI platforms to develop, deploy AI solutions leveraging ML techniques and Deep Learning Techniques
- Drive Joint Architecture Design to collaborate with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use cases on the AI Platform
- Evaluate emerging technologies and tools in the AI area and do fitment analysis to the 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 as an AI/ML platform
- Deep understanding of ML algorithms, Deep Learning architechture, 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, data engineering principles
- Experience with containerization and orchestration tools onprem 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 is influenced by years of experience, specialized skill sets, and unique qualifications
Ccubeprovides various benefits such as subsidized medical, dental, vision Insurance
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