AWS Architect ML Solution (Erode)

AWS Architect ML Solution (Erode)

06 Sep
|
Sourcebae
|
Erode

06 Sep

Sourcebae

Erode

Job Description: Architect – AWS ML Solution Hands-On

Role Details
 Experience: 10–14 years
 Primary Tech/Domain: AWS
 Must have strong platform engineering skills.
 Do not apply if you are not hands-on. (80% of the time will go into design and coding)
Overview & Expectations
Role Summary:
Design, build, lead, and deliver high-impact AI solutions. Own execution excellence with measurable business value,
technical depth, and governance.
Key Outcomes (06–12 months):
• Ship production-grade solutions with explicit ROI, reliability (SLOs), and security.
• Establish engineering standards, pipelines, and observability for repeatable delivery.
• Mentor talent; uplift team capability through reviews, playbooks, and hands-on guidance.
• Needs to build a successful AI platform that can be used to build AI applications across different domains
Responsibilities:
• Translate business problems into well-posed technical specifications and architectures.
• Lead design reviews, prototype quickly, and harden solutions for scale (1M+ users / high QPS).




• Build automated pipelines (CI/CD) and model/data governance across environments.
• Define & track KPIs: accuracy/latency/cost, adoption, and compliance readiness.
• Partner with Product, Security, Compliance, and Ops to land safe-by-default systems.
• Must have built an AI platform for AI applications across different domains.
Technical Skills: (Most of the levels mentioned below, but must have agentic AI skills)
• Platform: AWS SageMaker,; Kubernetes + Docker for portable inference
• MLOps: MLflow registry, Kubeflow Pipelines, CI/CD (GitHub Actions/Jenkins), canary/champion-challenger
• Monitoring: SageMaker Model Monitor (data/quality drift), monitoring, CloudWatch/Prometheus
• Serving: TensorFlow Serving, TorchServe, FastAPI/GRPC, autoscaling, low-latency optimizations
• Feature stores & data: Feast, Databricks Feature Store; batch vs. streaming pipelines
• Should have a solid practical knowledge of Machine learning and statistic

📌 AWS Architect ML Solution (Erode)
🏢 Sourcebae
📍 Erode

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