AI/ML Expert

Purview Services; Greater Noida; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Purview Services is seeking an AI/ML Expert or Gen AI Engineer to design and deploy Gen AI solutions for production incident management in a Hyderabad-based setup. You will integrate AI with monitoring, ticketing, and databases, develop custom agents, and drive MTTR reduction with data-driven KPIs.

The role emphasizes building AI pipelines, ensuring security and privacy compliance, and upskilling support teams to foster AI-driven efficiency.

Qualifications

• 58 years total experience, including 3–5 years of handson GenAI/automation work.
• Strong Python skills for scripting, API integration, and automation

Responsibilities

• Design and deploy Gen AI solutions to automate incident triage, root cause analysis, and alerting in production.
• Integrate AI with monitoring systems, ticketing platforms, and databases to improve observability.
• Develop custom AI agents or scripts using LLMs for natural language querying of logs and metrics.
• Collaborate with production support teams to identify toil-heavy processes and measure KPI impact.
• Build and maintain AI pipelines for continuous learning from production incidents.
• Ensure AI solutions comply with security, data privacy, and reliability standards.
• Train and upskill support teams on AI tools.

Skills

Gen AI frameworks

Python

FastAPI

Streamlit

SQL

AWS/Azure cloud

Observability tooling

Tools

Docker

Kubernetes

Prometheus

Grafana

Oracle

Splunk

ServiceNow

Job description

Job Title: AI/ML Expert or Gen AI Engineer

Location: Hyderabad

Experience: 5 to 8 Years

Job Description:

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, Glass box, 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 (MustHave) *

• 58 years total experience, including 3–5 years of handson GenAI/automation work.


• Strong Python skills for scripting, API integration, and automation