6 days ago
Guadalajara, MexicoMid Level
Responsibilities
- Design, build, and support production ML and LLM systems used by real users.
- Develop GenAI capabilities including RAG, embeddings, vector search, tool and function calling, structured outputs, and handling incorrect or unsupported answers.
- Build agentic AI systems and multi-step automations with tools, guardrails, human approval, and action auditing.
- Define evaluation sets and metrics, measure accuracy or error rates, and improve systems based on results.
- Develop time-series anomaly detection and alert-noise reduction for metrics, logs, or events.
- Write tested production Python code using relevant ML libraries.
- Troubleshoot live production incidents involving Linux CPU, memory, disk, and network issues as well as Java and Python runtime problems.
- Use Splunk and another observability platform for dashboards, alerts, and operational analysis.
- Build or significantly contribute to RCA, AIOps, or incident-analysis tooling.
Requirements
- At least 3 years of production AI/ML experience designing, building, and supporting ML or LLM systems used by real users.
- Experience with RAG, chunking, hybrid search, reranking, embeddings, vector search, tool or function calling, structured outputs, and unsupported-answer handling.
- Experience with agentic AI or multi-step automations using LangGraph, LangChain, Semantic Kernel, or similar technologies.
- Experience defining evaluation sets and metrics and improving systems based on measured results.
- Experience with time-series anomaly detection and alert-noise reduction.
- Production Python experience with tests and relevant use of Pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
- Production troubleshooting experience with Linux, Java, and Python.
- Experience with Splunk, including SPL, dashboards, and alerts, plus Prometheus, OpenTelemetry, Dynatrace, or a similar observability tool.
- Significant experience building or contributing to RCA, AIOps, or incident-analysis tooling.
Benefits
- Ongoing support and funding for training and development plans.
- Competitive benefits and salary package.
- Opportunity to work for leading global companies.
- Inclusive, non-discriminatory workplace culture with opportunities for career growth and development.
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.