Senior Analyst Job in Latentview Analytics

Senior Analyst

Apply Now
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
  • 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
Experience Required :

Minimum 3 Years

Vacancy :

2 - 4 Hires

Apply Now