AI Data Scientist
Ericsson
Bengaluru, Karnataka, India1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- Product managementMachine learningStakeholder managementAgileJavaPython
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management20%Agile8%Product management4%Machine learning4%of 25 similar fresher jobs posted in India this week
- Listed
- 27 Oct 2026 · still open
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About the Role
Seeking a highly skilled Technical Architect to join our team. As a key member of the board, you will play a crucial role in shaping and driving the technology strategy and architecture for our organization.
Key Responsibilities
- Be part of the SD Architecture Board to define and maintain the technology roadmap and technical guidelines for the organization.
- Provide technical guidance and oversight to development teams to ensure alignment with Software Technology areas.
- Evaluate emerging technologies (including AI/ML application stacks) and trends to make recommendations for their adoption and integration into the organization's AI/ML strategy.
- Lead the design and implementation of scalable and innovative technology solutions.
- Collaborate with stakeholders to understand business requirements and translate them into effective technology solutions.
Requirements & Tech Stack
- In-depth knowledge of System architecture and Agile ways of working.
- Hands-on experience with a wide range of technologies, including but not limited to:
- Java
- J2EE
- Python
- Ansible
- Microservices
- API design patterns
- Webservices
- DevOps
- Kubernetes
- Docker
- JIRA
- Messaging
- Security
- Elasticsearch
- Non-functional aspects of application development
- Comprehensive understanding of multi-cloud architectures, technologies, and services across major cloud providers such as AWS, Azure, and Google Cloud Platform.
Qualifications
- Proven experience as an AI/ML Architect with a strong background in designing and implementing enterprise-level AI/ML solutions.
- Familiarity with RAG (Retrieval-Augmented Generation) models and their application in natural language processing and content generation.
- Experience in natural language processing (NLP) techniques, including text analysis, language modelling, and sentiment analysis.
Good to Have
- Certifications:
- Kubernetes
- Architect/professional certifications in any HCP (AWS, GCP, Azure)
- AI/Data specializations in HCPs are a plus.
- Exposure to Marketplace development platform and community building initiatives.