Job Description
Senior Engineer Machine Learning
nKEY RESPONSIBILITIES:
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- Design, train, evaluate, and deploy ML models for anomaly detection, incident prediction, alert classification, and signal correlation.n
- Conduct exploratory data analysis, statistical modeling, and data visualization to uncover patterns and inform model development.n
- Build robust feature engineering, validation, and inference pipelines that operate at scale.n
- Architect and maintain model-serving infrastructure, online scoring services, and batch prediction workflows.n
- Design, execute, and analyze A/B tests and controlled experiments to validate model impact and guide product decisions.n
- Monitor model drift, latency, throughput, and operational health in production; define SLOs and runbooks.n
- Own model performance and reliability; lead root cause analysis for model failures and data pipeline incidents.n
- Build and optimize microservices and APIs for model inference, agent orchestration, and event processing.n
- Partner with SRE, platform,



and data teams to ensure seamless integration, scalability, and cost efficiency.n
- Drive MLOps best practices: versioning, experiment tracking, automated retraining, and CI/CD for ML.n
- Apply rigorous experimental design and statistical methods to validate hypotheses and ensure reproducibility.n
- Mentor junior and mid-level engineers on production ML engineering, system design, data science best practices, and debugging.n
- Contribute to technical documentation, architectural decision records, and operational playbooks.n

nREQUIRED QUALIFICATIONS:
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- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.n
- 8+ years of experience in machine learning engineering, software engineering, data science, or applied research.n
- 4+ years of hands-on experience building, deploying, and operating ML systems in production.n
- Expert-level Python and deep familiarity wi

📌 Senior Engineer ML (Bengaluru)
🏢 Albertsons Companies India
📍 Bengaluru