Ai Architect

7 months ago


Bengaluru Karnataka, India Ericsson Full time

**About this opportunity**:
Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable

**What you will do **:

- Operationalizing AI, mapping requirements to implementation, selecting the appropriate technologies, and evaluating non-functional attributes such as security, usability, and stability.
- Detailing mapping IT and security process to AI process. Influencing and working with business partners to establish and accelerate AI adoption.
- Audit AI solutions for architecture, scalability and security; especially in an enterprise landscape with cloud as apriority.
- Mapping requirements to implementation - Analysing, coordinating, prioritizing and optimizing requirements. Ensuring implementation even with constraints.
- Selecting technology - selecting appropriate technologies from the many open source, commercial on-premises,and cloud-based offerings available. Integrating a new generation of tools within the existing environment is alsoto help ensure access to accurate and current data. Because technology in this domain is evolving rapidly,
- Ensures that components can be replaced with well-suited alternatives that do not require any adjustment or downtime.
- Foresight when selecting new technologies like Functional and non functional requirements - considering aspects like security, usability and stability
- Leading the ITSAC discussions and working with stakeholders for approval

**You will bring **:

- Experience in solution architecture of complex cloud-based software/platform and implementation of the same
- 10+ years of verified experience designing and building software systems. i.e planning out infrastructure, cloudplatform components, etc
- Experience in machine learning cloud platforms and components like:

- AWS Sagemaker, Azure Databricks or GCP Vertex-AI
- MLOps for model training and deployment in production
- Model monitoring in production to identify model drift
- AWS EKS, Azure AKS and GCP GKE
- ETL tools like AWS Glue, Azure Data Factory, GCP Cloud Dataflow
- Storage solution like AWS S3, Azure DataLake, GCP BigQuery
- Infrastructure as Code (IaC) like CloudFormation, Terraform etc
- Experience with one or more programming language such as: Python, Java etc.
- Experience in developing and deploying machine learning models on cloud
- Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and solution architecture for machine learning problems on cloud

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.

Primary country and city: India (IN) || India : Karnataka : Bangalore
Req ID: 744283



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