AI/ML Production Support Engineer – L2

JOPB OPPORTUNITY - IMMEDIATE HIRING/ INTERVIEW

Role: AI/ML Production Support Engineer – L2

**Location: New York, NY Lake Mary, FL – onsite**

We are looking for an experienced 𝗟𝟮 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 to support AI/ML platforms, cloud infrastructure, data pipelines, model-serving environments, and cloud-native production applications.

The ideal candidate should have strong hands-on experience with JAVA, 𝗨𝗡𝗜𝗫/𝗟𝗶𝗻𝘂𝘅, 𝗦𝗤𝗟, 𝗣𝘆𝘁𝗵𝗼𝗻/𝗦𝗵𝗲𝗹𝗹 𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗻𝗴, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, monitoring/observability, CI/CD, and production incident management.

NOTE: Candidate has to support from 12 PM – 9 PM ET

Key Responsibilities

1. Monitor , troubleshoot, and resolve Level 2 production incidents across AI platforms , cloud infrastructure , data pipelines , model-serving environments, and associated services.
2. Provide hands-on support for deployment, orchestration, and operational management of AI/ML workloads across cloud-native environments.
3. Build and maintain monitoring, alerting, and observability capabilities for infrastructure, applications, data pipelines, model operations, and distributed compute workloads.
4. Perform root cause analysis for production issues, implement permanent fixes, and drive problem-management activities to improve service reliability.
5. Collaborate with DevOps, MLOps , data engineering , platform engineering , and application teams to maintain and enhance CI/CD and deployment automation.
6. Develop and support automation, self-service tooling, recovery mechanisms, and self-healing controls to reduce manual operational effort.
7. Monitor and troubleshoot batch processes, workflow orchestration, data ingestion, model training, and model deployment failures.
8. Apply ITIL-based incident, problem, change, and release management processes to support stable production operations.
9. Analyse support-ticket and incident trends; recommend and implement operational improvements, including AI-driven automation where appropriate.

Qualifications & Skills

Mandatory:

1. 3–5 years of experience in Level 2 application , platform , DevOps , or production support roles.
2. Strong hands-on experience with UNIX/Linux , SQL, and s hell or Python scripting.
3. Experience troubleshooting cloud-native applications, distributed systems, containers, and Kubernetes -based environments.
4. Working knowledge of CI/CD pipelines, deployment automation, and source-control platforms such as GitLab.
5. Experience with monitoring, logging, and observability tools such as Splunk, Grafana, AppDynamics, Prometheus, or similar tools.
6. Understanding of incident management, root cause analysis, problem management, and ITIL support processes.
7. Strong analytical and problem-solving skills, with a client-service mindset.
8. Ability to troubleshoot data-pipeline, workflow, API, and production deployment issues.

Good-to-Have:

1. Exposure to MLOps practices, including model deployment, model monitoring, feature/data pipelines, and AI workload orchestration.
2. Experience with cloud platforms such as AWS, Azure, or GCP.
3. Experience with infrastructure automation and configuration-management tools such as Ansible, Terraform, or Ansible Tower .
4. Familiarity with workflow and job-scheduling tools, such as Contro-M or equivalent enterprise schedulers.
5. Knowledge of Docker, Kubernetes , and distributed compute/data-processing technologies.
6. Exposure to Kafka, MQ , or other messaging and event-streaming platforms.
7. Experience implementing self-healing, auto-remediation, resilience, backup, or disaster-recovery mechanisms.
8. Familiarity with AI-driven operational tooling, ticket-trend analysis, or automation agents.

Thanks & Regards.

P Mahaboob Basha Sr. Recruiter 8326210046 [email protected]

Minisoft Technologies LLC

10333 Harwin dr Suite 375E, Houston, TX – 77036