ML Engineer

4 - 6 years

4 - 8 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

ML Model Development
  • Develop and deploy ML models (supervised, unsupervised, deep learning).
  • Perform feature engineering, model selection, and hyperparameter tuning.
  • Implement model evaluation and interpretability techniques (SHAP, LIME).
MLOps & ML Infrastructure
  • Build and maintain ML pipelines: training validation deployment.
  • Implement experiment tracking and model versioning (MLflow, W&B or Neptune).
  • Deploy models using serving infrastructure (TensorFlow Serving, TorchServe, Triton, BentoML).
  • Work with ML orchestration tools (Kubeflow, Airflow, Metaflow).
  • Support A/B testing and model deployment strategies.
Model Monitoring & Alerting
  • Implement monitoring for model performance: latency, accuracy, drift detection.
  • Build dashboards (Grafana, Kibana, CloudWatch) and configure alerts (Slack, PagerDuty).
  • Log predictions and actuals for continuous monitoring.
Data Engineering
  • Write efficient SQL: joins, aggregations, CTEs, window functions.
  • Work with cloud data platforms (Databricks, Snowflake, BigQuery, Redshift, Synapse).
  • Build ETL/ELT pipelines using AWS Glue, dbt, or Airflow.
Platform Engineering & Observability
  • Contribute to ML platforms on Kubernetes/EKS.
  • Monitor cloud costs and resource consumption.
Required Skills
Strong hands-on experience.

Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Candidates are advised to verify the exact job location directly with the employer before applying.

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