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




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

REQUIRED QUALIFICATIONS:
Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
8+ years of experience in machine learning engineering, software engineering, data science, or applied research.
4+ years of hands-on experience building, deploying, and operating ML systems in production.
Expert-level Python and deep familiarity with ML frameworks (PyTorch, TensorFlow, XGBoost).
Robust foundation

📌 Senior Engineer Ml Bengaluru
🏢 Albertsons Companies India
📍 Bengaluru