Overview
On Site
Full Time
Skills
Bachelors degree in Finance
Accounting
Business
In
Job Details
- Strong knowledge of software development methodologies, including Agile and Scrum.
- Strong knowledge of software architecture principles and best practices, including microservice, APIs, and service-oriented architecture (SOA).
- Experience with cloud computing platforms, especially with Azure data plane and control plane.
- Strong knowledge of security principles and best practices, including authentication, authorization, and data encryption.
- Excellent communication, collaboration, and interpersonal skills, with the ability to work effectively with other members of the IT team, business stakeholders, and external partners.
- Strong leadership and mentorship skills, with the ability to provide technical leadership and mentorship to other members of the IT team.
- Hands-on experience with cloud platforms (preferably Azure, but also AWS or Google Cloud Platform.
- Azure infrastructure design and deployment using automation tools like Terraform and ARM template.
- Experience in designing and implementing ML platforms, cognitive APIs, container orchestration, serverless functions, API gateways, VMs, networking VPC, Azure RBAC, EntraID, App service plans ..etc.
- Experience with MLOps, CI/CD, model monitoring, and automation
- API integration and containerization (Docker, Kubernetes)
- Strong foundation in supervised/unsupervised learning, NLP, GenAI, and LLMs is a plus.
- Skilled in prompt engineering, model fine-tuning, and evaluation
- Building data pipelines and integrating structured/unstructured data
- Understanding of data governance and regulatory compliance (HIPAA, GDPR)
- Technical leadership across architecture and engineering teams
- Effective collaboration with cross-functional teams (product, data, DevOps)
- Strong communicator with experience presenting to technical and business stakeholders.
Requirements
- Experience in software development, systems architecture, or a related field. 8-10+ years required
- 2-3 years of AI in Cloud preferred
- Bachelor's degree related field of study required or Master's preferred.
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