Senior Automation Engineer
Ericsson (company site, opens in a new tab)8+ yrsNoidaHybridDirect career pageEst. 35–55 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and architect scalable, production-grade AI/ML systems integrating ML models, generative AI, data pipelines, and cloud infrastructure with security and cost-efficiency at scale.
- Lead solution design decisions including technology selection across cloud platforms, foundation models, and vector databases while establishing MLOps processes for CI/CD, monitoring, and compliance.
- Manage stakeholder alignment, translate business goals into technical requirements, lead RFP/RFI efforts, present architecture to executives, and coordinate cross-domain teams for governance and risk management.
Minimum Requirements
- 8+ years in software engineering with 3+ years of hands-on delivery of ML/AI projects into production.
- Proficiency in Python and ML frameworks/tools like PyTorch, TensorFlow, LangChain, MLflow, Kubeflow, and experience with cloud AI services (AWS SageMaker, Azure ML, or Google Cloud Vertex AI).
- Experience in system design, risk management, governance, and leading technical stakeholder engagements.
- Location requirement: India (Noida).
Ideal Candidate Profile
- Experienced in architecting end-to-end AI/ML ecosystems focusing on integration, scalability, and operational governance rather than just model development or application coding.
- Proven ability to lead cross-functional teams and engage with executive-level stakeholders for alignment on complex technical solutions.
- Familiarity with telecom domain and cloud-based MLOps platforms is advantageous for risk management and compliance in production-grade AI systems.