Job requisition ID :: 77217
Date: Feb 4, 2025
Location: Bengaluru
Designation: Senior Consultant
Entity:
**Role Overview**:

We are seeking an experienced **Platform Engineer** with strong expertise in **AWS**, **DevOps**, **AWS SageMaker**, and **Python**. The ideal candidate will have **5+ years of experience** and a proven track record in troubleshooting, supporting, and enabling developers and data scientists to deploy and manage their machine learning models in the AWS ecosystem efficiently.

**Key Responsibilities**:

* Collaborate with developers and data scientists to support the end-to-end deployment of machine learning models on **AWS SageMaker** and other AWS services.
* Design, develop, and maintain scalable infrastructure and CI/CD pipelines using AWS and DevOps best practices.
* Provide troubleshooting support to resolve issues in model deployment, performance, and infrastructure.
* Automate workflows for model training, testing, and deployment processes using **Python** and infrastructure-as-code (IaC) tools.
* Ensure the availability, performance, and security of the platform supporting data science workloads.
* Implement monitoring and logging solutions to identify and resolve issues proactively.
* Stay updated with the latest AWS services and recommend solutions to optimize workflows and infrastructure.
* Act as a liaison between data scientists, developers, and operations teams to streamline processes and enhance collaboration.

**Key Requirements**:

* **5+ years of experience** as a Platform Engineer, DevOps Engineer, or a related role.
* Strong hands-on experience with **AWS services**, including but not limited to **SageMaker**, EC2, Lambda, S3, IAM, and CloudWatch.
* Experience in Containerization.
* Proficiency in **Python**, with the ability to create automation scripts and tools.
* Experience with **DevOps practices** such as CI/CD pipelines, version control (Git), and tools like Jenkins, GitLab, or Code Pipeline.
* Familiarity with containerization tools like **Docker** and orchestration platforms like **Kubernetes** (EKS).
* Excellent troubleshooting and debugging skills for infrastructure, deployment, and model performance issues.
* Understanding of machine learning model lifecycle and MLOps workflows.(Optional)
* Hands-on experience with **Infrastructure-as-Code (IaC)** tools like Terraform or CloudFormation.
* Strong communication and collaboration skills, with the ability to work closely with cross-functional teams.

**Preferred Skills**:

* AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Machine Learning – Specialty).
* Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.
* Familiarity with data engineering workflows and tools.

**What We Offer**:

* An opportunity to work on cutting-edge machine learning projects with a collaborative and innovative team.
* A chance to make a significant impact by enabling data scientists and developers to deliver high-quality solutions on AWS.
* Competitive compensation, benefits, and professional growth opportunities.

**Location**: [Bangalore]

**Employment Type**: Full-Time