Role Purpose
The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters
JD-
Key Responsibilities:
- Design and deploy Gen AI solutions (e.g., chatbots, anomaly detectors) to automate incident triage, root cause analysis, and alerting in production environments.
- Integrate AI with existing tools like monitoring systems (e.g., Splunk, Dynatrace, Glassbox, CatchPoint), ticketing platforms (e.g., Remedy or ServiceNow), and databases (e.g., Oracle) to improve observability.
- Develop custom AI agents or scripts using LLMs (e.g., Claude, Llama, GPT, etc.,) for natural language querying of logs, metrics, and codebases, accelerating MTTR from hours to minutes.
- Collaborate with production support teams to identify toil-heavy processes, prototype AI fixes, and measure impact via KPIs like resolution time and ticket volume.
- Build and maintain AI pipelines for continuous learning from production incidents, ensuring models improve over time without human retraining.
- Ensure AI solutions comply with security, data privacy, and reliability standards in high-stakes financial or enterprise apps.
- Train and upskill support teams on AI tools, fostering a culture of AI-driven efficiency.
Preferred Skills:
- Proficiency in Gen AI frameworks & Transformers for building RAG (Retrieval-Augmented Generation) systems.
- Programming: Python (advanced), with experience in FastAPI, Streamlit for AI prototypes; SQL for database querying (Oracle preferred).
- Production support expertise: Incident management, log analysis, MTTR optimization in cloud (AWS/Azure) environment.
- AI ops: Model deployment via Docker/Kubernetes, monitoring with Prometheus/Grafana, handling drift and hallucinations.
- Data handling: Vector databases (Pinecone, FAISS), prompt engineering for domain-specific tasks like error prediction.
Desired Skills:
- MLOps tools: MLflow for CI/CD of AI models.
- Observability integration: Custom agents for tools.
- Domain knowledge: Global Banking, SRE practices (e.g., SLOs).
- Soft skills: Cross-functional communication, agile methodologies, experience converting AI in conservative teams.
- Emerging tech: Multimodal AI (e.g., vision for dashboard analysis), fine-tuning open-source models on proprietary incident data
Minimum Qualifications (Must‑Have) *
Source: Wipro careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Wipro is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam K... Read More
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