AI/ML Expert

Skills:

• Python (pandas, NumPy, scikitlearn), PyTorch/TensorFlow, SQL; model ops (MLflow, Docker, CI/CD).
• Timeseries forecasting, anomaly/tamper detection, classification, clustering; evaluation (ROCAUC/PRAUC).
• Data engineering basics (ETL, feature stores), API serving; cloud (prefer AWS: S3, RDS, SageMaker/EMR).
• Nice: LLM/RAG for SOP/chatbots/ticket summarization; Kafka/Airflow; utilities domain (AMI/NRW/collections).
• Strong Analytical skills & understanding of data analytics.

• Candidate must have practical implementation capabilities & completed 2-3 projects.

• practical experience building machine learning systems that are actually used in real products.

• Experience: 3 to 6 years with production ML.
• Own endtoend ML features for AMI & enterprise analyticsproblem framing data model deploy monitor.
• Build robust pipelines (ingest, feature store, training), implement online/offline inference and drift/quality monitors.
• Ship measurable lifts (e.g., theftdetection precision/recall, forecast MAPE); write clear tech notes for stakeholders.
• Integrate ML services with UHES/MDM/UBS; maintain experiment traceability and reproducibility.
• Apply machine-learning methods for anomaly detection and load-forecasting .
• Implement efficient data processing pipelines and indexing mechanisms