Senior Analyst Job in Latentview Analytics
Senior Analyst
Latentview Analytics
2 weeks ago
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
Job Summary
Role: Senior Analyst Machine Learning Performance & Testing
Location: Bengaluru, Karnataka, India
Experience: 3 5 Years
Employment Type: Permanent, Full-Time
About the Role
We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring.
Key Responsibilities
Required Skills & Tools
Preferred Qualifications
Why Join Us?
Location: Bengaluru, Karnataka, India
Experience: 3 5 Years
Employment Type: Permanent, Full-Time
About the Role
We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring.
Key Responsibilities
- Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios.
- Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts.
- Monitor and improve model scalability, response time, and error rates across production environments.
- Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows.
- Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications.
- Set up alerting and observability pipelines for model health using industry-standard tools.
Required Skills & Tools
- Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation
- Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins
- Cloud Services: Experience with AWS and deploying/testing models in cloud environments
- Programming Languages: Proficiency in at least one of the following Python, Java, Scala
- Experience: Working with production-level ML models, especially involving high data volumes and real-time inference
- Strong communication skills and ability to work in cross-functional teams
Preferred Qualifications
- Hands-on experience with CI/CD pipelines for ML systems
- Knowledge of A/B testing and canary deployments for ML models
- Experience building testing frameworks for ML infrastructure at scale
- Understanding of monitoring and alerting best practices in production ML systems
Why Join Us?
- Be at the forefront of ML operations and model performance optimization
- Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments
- Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing
- Competitive compensation and an innovative, fast-paced work environment

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