Responsibilities:

- Hands -on
experience with cloud
platforms (Azure) is a must

- Azure
infrastructure design and deployment using automation tools like Terraform
and ARM template.

- Experience
in designing and implementing ML platforms, cognitive APIs

- Experience
in implementing 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, AKS)

- 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)

- Solid
communicator with experience presenting to technical and business stakeholders.

- Strong
knowledge of software development methodologies,



including Agile and
Scrum.

- Strong
knowledge of software architecture principles and best practices,
including microservices, 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.

- Works
with multiple teams to deep dive into architecture and provides
economically viable solution with scalability, availability and
reliability.


Requirements:

- Bachelor's
Degree Related Field of Study required, or master’s degree Related Field
of Study preferred

- Experience
in software development, systems architecture, or a related field. 8 -10+
years required


Good to have:

- 3 -4
years of AI in Cloud preferred