Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Skills
AI/ML
Azure
AWS
GCP
Docker
Kubernetes
Job Details
Key Responsibilities:
- Engage with stakeholders to define business problems and design AI/ML-based solutions.
- Architect end-to-end AI solutions including data pipelines, model training, deployment, integration, and monitoring.
- Collaborate with data engineering, DevOps, and product teams to ensure seamless solution delivery.
- Evaluate and recommend AI platforms, frameworks, and tools across Azure, AWS, and Google Cloud Platform ecosystems.
- Define best practices for MLOps, data governance, model monitoring, and lifecycle management.
- Design AI solutions integrating with enterprise applications (ERP, CRM, custom platforms, APIs, microservices).
- Drive POCs, pilots, and production-grade deployments for AI initiatives.
- Provide thought leadership in AI adoption, roadmaps, and emerging trends.
Required Qualifications:
- Bachelor s or Master s in Computer Science, AI/ML, Data Science, or related field.
- 10 12 years of IT experience, with 5- 7 years in AI/ML solution architecture.
- Proven experience designing AI/ML solutions at enterprise scale.
- Strong expertise in Python, TensorFlow, PyTorch, Scikit-learn, NLP, Computer Vision, and GenAI frameworks.
- Hands-on knowledge of cloud-native AI services (Azure AI, AWS SageMaker, Google Cloud Platform Vertex AI).
- Experience with MLOps pipelines, CI/CD, Docker, Kubernetes, and API integrations.
- Excellent communication, solutioning, and client-facing skills.
Thanks
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