MLOps Engineer
- People Tech
- 10 - 17 years
- Bengaluru
- 9 days ago
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Job Description
Years of Experience: 10+ Years
Role: MLOps Engineer
Location: Bangalore
Summary
We're seeking an experienced MLOps Engineer to build and maintain our computer vision infrastructure on AWS. The ideal candidate will develop model training pipeline, a comprehensive image data lake with advanced search capabilities, implement active learning pipelines for efficient annotation, and create frameworks enabling customers to deploy their own deep learning models. This role combines MLOps expertise with data engineering to create scalable, production-ready computer vision systems.
Responsibilities:
Design and implement end-to-end computer vision ML training pipelines on AWS SageMaker for model training, validation, deployment, and monitoring
Architect and build a scalable image data lake solution enabling multi-modal search capabilities (structured metadata, image-to-image, text-to-image) along with data upload capability from edge devices
Develop vector embedding pipelines for visual content using AWS services and deep learning frameworks
Create APIs for seamless integration with third-party annotation services and automated dataset creation
Implement active learning pipelines that intelligently select high-value images for annotation, optimizing annotation ROI
Build data quality and validation frameworks to ensure consistency across the annotation lifecycle
Develop infrastructure automation using AWS CloudFormation/CDK for scalable deep learning workflows
Establish monitoring systems for data drift, annotation quality, and model performance
Create skeleton frameworks and templates enabling customers to deploy their own deep learning models
Optimize storage and retrieval mechanisms for large-scale image repositories
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or related field
10+ years of experience in MLOps or ML Engineering with focus on computer vision applications
Experience building data lakes or large-scale data repositories for unstructured data
Strong understanding of vector databases, embedding models, and similarity search algorithms
Hands-on experience with AWS services (S3, SageMaker, Lambda, Step Functions, Glue)
Proficiency in Python and experience with PyTorch or TensorFlow
Experience implementing active learning systems for optimizing annotation workflows
Knowledge of RESTful API design and integration with third-party services
Familiarity with annotation tools and workflows for computer vision datasets
Experience with containerization (Docker) and orchestration (Kubernetes/EKS)
Understanding of data governance and security best practices for sensitive image data
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: People TechLocation(s): Bengaluru
Keyskills: Pytorch Tensorflow MLOps Engineer Aws Sagemaker AWS Computer Vision Learning Management Kubernetes
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