L2 Support Engineer AI/ML Platform

Tata Consultancy Services; Indonesia; On-site; IDR 300,000,000 - 600,000,000; Full time

Job summary

Tata Consultancy Services Limited is seeking an experienced AI Platform Support Engineer to monitor AI/ML models, manage inference endpoints, and ensure robust performance in a production environment.

The role emphasizes incident resolution, data validation, and release management, with on-call rotations and continuous service improvements across global teams. Strong Python skills and familiarity with MLOps and RAG architectures are essential.

Qualifications

• 5–7 years in application/platform support or SRE.
• Bachelor's Degree in CS/IT/Engineering/Data Science or related field.
• Experience with enterprise-scale production environments with strict SLA requirements.
• Ability to work independently and collaborate across global teams.

Responsibilities

• Monitor and support AI/ML models, inference endpoints, and RAG pipelines in production environments.
• Investigate and resolve model, application, and platform incidents, including inference failures, latency issues, and service degradation.
• Analyze logs, metrics, traces, and quality signals to identify root causes and restore services.
• Validate data sources, retrieval systems, embeddings, and other dependencies impacting AI application performance.
• Support controlled deployments, release management, rollback activities, and post-release validation.
• Coordinate major incidents and collaborate with engineering teams for issue resolution.
• Escalate platform, infrastructure, or model defects to relevant development and engineering teams.
• Ensure compliance with SLA, security, change management, and operational standards.
• Maintain system documentation, incident reports, and knowledge articles.
• Participate in on-call support rotations and contribute to continuous service improvement initiatives.

Skills

Python

AI/ML platforms

MLOps

LLM Operations

Prompt Engineering

RAG architectures

APIs & distributed systems

Cloud monitoring

ITIL/Incident Mgmt

24x7 operations

Analytical skills

Education

Bachelor's Degree

Tools

Azure

AWS

Google Cloud Platform

Kubernetes

Docker

Grafana

Prometheus

Datadog

CloudWatch

Azure Monitor

Job description

About TCS:

A purpose-led organization that is building a meaningful future through innovation, technology, and collective knowledge. We're #BuildingOnBelief.

Tata Consultancy Services (TCS) is a global leader in IT services, digital and business solutions that partners with its clients to simplify, strengthen and transform their businesses. TCS offers a consulting-led, integrated portfolio of IT, BPS, infrastructure, engineering and assurance services. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise and a global network of innovation and delivery centers. For more information, visit us at www.tcs.com.

Key Responsibilities

• Monitor and support AI/ML models, inference endpoints, and RAG pipelines in production environments.


• Investigate and resolve model, application, and platform incidents, including inference failures, latency issues, and service degradation.


• Analyze logs, metrics, traces, and quality signals to identify root causes and restore services.


• Validate data sources, retrieval systems, embeddings, and other dependencies impacting AI application performance.


• Support controlled deployments, release management, rollback activities, and post-release validation.


• Coordinate major incidents and collaborate with engineering teams for issue resolution.


• Escalate platform, infrastructure, or model defects to relevant development and engineering teams.


• Ensure compliance with SLA, security, change management, and operational standards.


• Maintain system documentation, incident reports, and knowledge articles.


• Participate in on-call support rotations and contribute to continuous service improvement initiatives.

Required Skills

• Strong programming experience in Python.


• Experience supporting AI/ML platforms, LLM applications, or Generative AI solutions.


• Knowledge of MLOps, LLM Operations, Prompt Engineering, and RAG architectures.


• Experience troubleshooting APIs, integrations, and distributed applications.


• Hands-on experience with cloud monitoring and observability platforms.


• Strong understanding of Incident, Problem, and Change Management processes.


• Experience supporting production applications in a 24x7 operational environment.


• Excellent analytical, troubleshooting, and communication skills.

Preferred Skills

• Experience with Azure, AWS, or Google Cloud Platform (GCP).


• Familiarity with Kubernetes, Docker, and containerized environments.


• Experience with monitoring tools such as Grafana, Prometheus, Datadog, CloudWatch, or Azure Monitor.


• Exposure to vector databases, semantic search, and AI application architectures.


• Understanding of CI/CD pipelines and release management processes.

Qualifications

• 5-7 years of experience in Application Support, Platform Support, Cloud Operations, AI/ML Operations, MLOps, or Site Reliability Engineering (SRE).


• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline.


• Experience supporting enterprise-scale production environments with strict SLA requirements.


• Ability to work independently and collaborate effectively across global teams.

Thank you for your interest in applying for this position with TCS. All applicants who meet the requirements will be considered equally and fairly for employment. TCS is an equal employment opportunity provider and does not differentiate applicants on any basis. If you are a person with a disability and need a reasonable accommodation to apply for this career opportunity, please do connect with us on our linked In TCS Asia Pacific Handle and we will be happy to guide you further.

We will review your application and will get back to you if we are considering your interest in this opportunity!