Senior Platform Engineer

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Description

Job Description

As a Senior Platform Engineer (AI/ML) you will be responsible for designing and building the internal platforms tools and automation that power the AI/ML development lifecycle. This role focuses on reducing bottlenecks eliminating manual effort and enabling Data Science and ML teams to experiment iterate and deliver features efficiently. You will create scalable secure and cost-effective infrastructure that supports data ingestion model training deployment and monitoring across cloud and on-prem environments.

Responsibilities

Design and maintain AI/ML platform infrastructure including compute clusters (CPU/GPU) storage systems and networking for high-performance workloads.

Develop internal tools and automation to streamline workflows across data preparation model training evaluation and deployment.

Implement Infrastructure as Code (IaC) for reproducible environments and automated provisioning (Terraform CloudFormation).

Build and manage Kubernetes clusters and container orchestration for ML services and pipelines.

Integrate observability and monitoring for platform health resource utilization and ML workloads.

Optimize cost and performance for compute-intensive ML tasks including GPU scheduling and autoscaling.

Collaborate with MLOps Engineers to enable CI/CD pipelines for ML models and data workflows.

Ensure platform security and compliance including IAM secrets management and network policies.

Support feature stores model registries and experiment tracking systems to accelerate ML development.

Drive innovation by introducing new tools and frameworks that improve productivity and reduce time-to-market for AI solutions.

Experience and Competencies

The following experience is expected to be successful in this role.

Required

5 years of experience in platform engineering DevOps or infrastructure roles.

Strong proficiency with cloud platforms (AWS GCP Azure) and managed ML services.

Expertise in containerization and orchestration (Docker Kubernetes).

Experience with Infrastructure as Code (Terraform CloudFormation).

Familiarity with CI/CD pipelines and automation frameworks.

Solid understanding of networking security and distributed systems.

Proficiency in scripting and automation (Python Bash).

Desirable

Experience supporting AI/ML workloads (GPU clusters ML frameworks like TensorFlow or PyTorch).

Knowledge of data engineering fundamentals and big data technologies (Spark Kafka).

Familiarity with MLOps tooling (MLflow Kubeflow TFX).

Hands-on experience with observability tools (Prometheus Grafana).

Bachelors or Masters degree in Computer Science Engineering or related field.

Certifications in cloud architecture or Kubernetes (CKA/CKAD) are a plus.

Required Experience:

Senior IC

DescriptionJob DescriptionAs a Senior Platform Engineer (AI/ML) you will be responsible for designing and building the internal platforms tools and automation that power the AI/ML development lifecycle. This role focuses on reducing bottlenecks eliminating manual effort and enabling Data Science and...