RandomTrees
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Secunderabad · On-site · 1-3 Yrs · 17 hours ago
Information Technology Support Services · 201 to 500 Employees · Houston, US
RandomTrees is an AI company with a mission to create a climate that empowers enterprises to realize business outcomes. Our advisory services help clients to embark on a business excellence journey using AI with a proven methodology. Our delivery services provide the know-how across AI platforms, data engineering, and process expertise to build, run and operate AI solutions. We also play a key engineering role in AI marketplaces to promote responsible AI
Hiring: Engineering
What employees say
+ My experience at RandomTrees has been highly rewarding, providing me with strong exposure to data engineering practices and real-time business use cases. I have worked extensively
− RandomTrees is really doing good. No cons
More reviews on the company profile.
Interview experience · AI Engineer
Interview was quite modrate it went from print a list to explain few steps in your project and to write a program to summerize a document which is uploaded.Questions were asked based in theory ml concepts too and i was a
Average difficulty · Chennai · 12 reports
More interview insightsJob description
Overview
Roles & Responsibilities: • Hands-on experience with AWS SageMaker, including training, deployment, and monitoring of machine learning models.
Responsibilities
- Hands-on experience with AWS SageMaker, including training, deployment, and monitoring of machine learning models.
- Develop and maintain Python scripts using SageMaker Python SDK and work efficiently in Linux environments.
- Apply strong understanding of ML concepts and model lifecycle management.
- Use Docker to build and manage containerized SageMaker models.
- Implement and manage Terraform infrastructure for SageMaker and other AWS services, including module creation and state management.
- Build and maintain GitLab CI/CD pipelines, integrating with DevSecOps tools such as Snitch, SonarQube, and Veracode.
- Strong working knowledge of AWS services, including SageMaker, EC2, ECS, EKS, ECR, Lambda, VPC, and IAM.
- Set up and maintain monitoring solutions using AWS CloudWatch to track model and infrastructure performance.
- Collaborate effectively with team members and stakeholders, demonstrating strong communication and interpersonal skills.
- Troubleshoot and resolve issues with a logical and pragmatic approach.
- Experience in ML model deployment and lifecycle management on AWS SageMaker.
- Proficiency with Python, Docker, Terraform, GitLab CI/CD, and AWS ecosystem.
- Strong problem-solving, troubleshooting, and collaboration skills.
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Job application FAQ
Last updated 11 October 2026
- How do I apply for MLOPS Engineer at RandomTrees?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. RandomTrees may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this MLOPS Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is MLOPS Engineer remote or on-site in Secunderabad, Telangana?
- This listing is marked on_site with location Secunderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this MLOPS Engineer role at RandomTrees?
- This is a mid-level MLOPS Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.