
AI/ML Engineer - AI Observability(ML Ops Engineer)
at Hiring for IT Consulting Firm (MNC)
Position Overview
The AI Observability Engineer will be instrumental in implementation of scalable, cloud-native solutions to meet the growing needs of our Data & Development team. The successful candidate will demonstrate the ability to abstract complexity and create reusable, scalable patterns that accelerate development. The AI Observability Engineer will build and maintain a robust framework to ensure the reliability and maintainability of DPR Construction's complex AI systems.
Responsibilities
- Standardize observability practices across AI/ML and other development teams including logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms
- Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning
- Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection
- Deploy, maintain and monitor containerized ML workloads
- Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows
- Implement AI-driven data validation, schema and concept drift detection and metadata management.
- Establish governance frameworks for AI systems, including bias detection, explainability, and auditability
- Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention
- Develop automated test suites for model performance, regression, edge cases and bias validation
- Monitor model KPIs (accuracy, precision, recall, latency, calibration)
- Ensure reproducability of experiments and production models
- Act as a technical point of contact for DevOps and MLOps practices, developing reusable patterns, documentation, and proof-of-concepts to drive adoption
Qualifications
- Bachelor’s degree in computer science, Data Science, Information Systems, or a related field
- 5+ years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering
- Strong understanding of cloud infrastructure and experience working with at least one major cloud provider, preferably Azure
- Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn

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Experience Level: 2+ years
Location: Bangalore
Job Description: As a Sales Manager in our Real Estate Division, you will be responsible for driving sales by following up on leads generated through our online campaigns, nurturing prospective clients, and guiding them through the property purchase process. Your primary goal will be to convert prospective leads into buyers by providing expert guidance, arranging site visits, showcasing properties of our clients, and closing sales, all while maintaining the unified communication which reflects the brands value and positioning.
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2. About Brown Living’s Mission & Vision - https://brownliving.in/pages/about-us
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4. Work with Us - https://brownliving.in/pages/work-with-us
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