Lead MLOps Engineer / Site Reliability Engineer AI/ML Infrastructure
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Job Description
- Lead MLOps Engineer / Site Reliability Engineer AI/ML Infrastructure (Hyderabad)
- Company: Virtusa
- Job Location: Hyderabad, Telangana, India
- Employment Type: Full-time
- Experience Required: 10 - 15 years
- Roles and Responsibilities :
- Lead (MLOps & Infrastructure Reliability) P4
- We are looking for an intelligent, resourceful, and highly skilled Lead Site Reliability Engineer to
- join our AIDA Engineering group. In this role, youll focus on architecting and maintaining cloud-
- based MLOps pipelines to enable scalable, reliable, and production-grade AI/ML workflows,
- working closely with AI engineers, data engineers, and software teams. You will work closely
- with application development teams to build scalable, containerized infrastructure to support a
- modern SDLC process. This group plays a critical role in ensuring the stability, reliability, and
- availability of mission-critical production applications across Wiley.
- What were looking for:
- Up to 5 years of experience in a Site Reliability Engineering (SRE), DevOps, or
- Production Engineering role, with a deep understanding of SRE principles and best
- practices.
- Design, implement, and maintain cloud-native platforms to support AI and data
- workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
- Hands-on experience with Databricks MLFlow, including model registration, versioning,
- asset bundles, and model serving workflows.
- Build and manage scalable data pipelines to ingest, transform, and serve data for ML
- and analytics.
- Proficiency in at least one coding language (Python, Go, Rust, or Typescript) for
- automation and debugging.
- Hands-on experience in Kubernetes (K8s) for managing and orchestrating containerized
- applications.
- Cloud experience (AWS preferred) with exposure to key services like EC2, S3, Lambda,
- and Bedrock GCP a plus.
- Incident management expertise, including triaging, escalation, and resolution of high-
- severity outages.
- Strong troubleshooting and problem-solving skills, with experience diagnosing complex
- production issues.
- Excellent communication skills to articulate technical challenges and solutions
- effectively.
- Preferred skills:
- Experience writing, maintaining and contributing to Terraform.
- Experience with AI-native Vector databases, ex.
- Weaviate.
- Architecting and managing AI/ML workloads in production using the employing of
- Job Requirements :
- 10-15 years of experience in software engineering or a related field.
- Robust expertise in AWS/GCP cloud platforms, including Terraform configuration management.
- Proficiency in Python programming language for scripting tasks such as automation testing. .
Skills
AIProduction EngineeringMLOpsData PipelinesDevOpsAWS BedrockData PlatformsCloudnative PlatformsSite Reliability EngineeringDatabricks MLFlowDatabricksIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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