AIML Engineer

Skill- AIML Engineer

Total Experience-4-6yrs

Mode - Hybrid

JD:

Key Responsibilities:

AI Ops & Observabilit

y· Design, implement, and operate AI‑driven monitoring and observability solutions across application, infrastructure, and network layers

.· Able to build AI‑based anomaly detection for metrics such as traffic patterns, error rates, latency, and infrastructure capacity

.· Integrate observability platforms such as Dynatrace, Splunk, OpenTelemetry, and custom metrics pipelines for AI monitoring and insights

.· AI‑enabled alert reduction and error detectio

n
Automation & Intelligent Operatio

ns·Develop AI‑powered automation to reduce operational toil, manual triage, and repetitive task

s.· Implement alert reduction, intelligent correlation, and RCA automation for production incident

s.·Enable self‑healing and auto‑remediation workflows where applicabl

e.
Required Skil

ls:
·4+ years of experience in Python using common data science libraries such as scikit-learn and Databri

cks.· 2+ years of experience applying NLP (transformers, gpt,etc) in a production setting using large amounts of d

ata.· 2+ years of experience applying LLMs (RAG, vector db, embeddings) to solve real world probl

ems.· Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analy

ses.· Experience building APIs for the mod

els.· Good experience with one of the cloud platforms (Azure, AWS or GCP). Having Azure cloud experience is more prefer

red.·Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audie

nce.· Organized self-starter, with drive and commitment; able to work with little supervis

ion.· Analytical, quantitative, problem-solving, and critical thinking sk

ills
Nice-to-

Have:
· Experience using vision and speech models in

GenAI· Experience with AI/ML concepts applied to oper

ations· Knowledge of SRE practices, incident mana