Ai Support Engineer Zapopan, Jalisco, Mexico

hace 2 semanas


Zapopan, México AstraZeneca A tiempo completo

**Location** Zapopan, Jalisco, Mexico**Job ID** R- **Date posted** 05/06/2025**AI Support Engineer**:**Location: Hybrid (3 days on-site in Guadalajara, MX; 2 days remote)***:**About AstraZeneca**:AstraZeneca is a global, science-led biopharmaceutical company focused on the discovery, development and commercialisation of life-changing medicines. Our Enterprise AI team delivers the AI app store, reusable AI models and ready-to-use ML platforms that power everything from early-stage drug discovery to patient-safety systems.**Why this role?**:You’ll be the first line of support for the AI services that thousands of scientists and engineers rely on every day. Your work will keep critical machine-learning workloads running smoothly—ultimately accelerating the delivery of new medicines to patients worldwide.**What you’ll do**:- Troubleshoot and resolve issues spanning development, staging and production environments in AWS.- Collaborate daily with Data Scientists, ML Engineers and DevOps teams to triage problems, identify root causes and implement fixes.- Monitor platform health using Kibana, Grafana and Prometheus; automate alerting and runbooks where possible.- Contribute to infrastructure-as-code (Terraform, CloudFormation or similar) to keep environments reproducible and compliant.- Work within security and data-privacy guardrails, partnering closely with Cyber-Security, Compliance and GxP teams.- Continuously improve support processes, documentation and tooling in an Agile, “production-first” culture.**Required qualifications**:- BSc / MSc or equivalent experience in Computer Science, Engineering or related field.- 5-7 years of hands-on experience with Kubernetes-based stacks (Kubeflow, ArgoCD, container orchestration).- 5+ years developing production software in Python (other languages welcome).- Proven track record delivering ML / data-science workloads at scale on AWS using infrastructure-as-code.- Familiarity with DevOps automation pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).- Experience in a formal support environment (ITIL or similar) and working in Agile teams.- Excellent communicator who can translate complex technical issues for diverse audiences.**Nice-to-have**:- Retrieval-Augmented Generation (RAG) or other GenAI implementation experience.- Natural-Language Processing (NLP) background.- Exposure to Dataiku or similar data-science platforms.- Prior work on GxP-regulated or life-science systems.**How we work**:We believe face-to-face collaboration fuels innovation, so we meet in the office at least three days per week and offer flexible remote work for the other two. Expect a fast paced, encouraging environment with clear impact—your solutions keep life-saving AI systems online.**What’s in it for you?**:- A chance to craft enterprise-scale AI platforms that touch every stage of drug development.- Support from a diverse, multidisciplinary team of ML, software and platform engineers.- Competitive salary, bonus and benefits package.- Continuous learning budget, internal tech communities and dedicated career-growth pathways.**Ready to apply?**:Click “Apply” and submit your CV. If your profile aligns, our recruitment team will contact you to discuss next steps. Join us and help turn ground breaking AI into life-changing medicines.



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