Data Scientist ML Engineer at Pulsar Technologies
Job Description
We are looking for a Data Scientist with strong experience in Machine Learning Engineering.
The candidate will be responsible for designing, developing, and maintaining advanced analytics models. They will ensure quality and compliance with the client’s MLOps best practices by implementing scalable, reliable, and reproducible ML solutions on cloud platforms. Experience in automating the ML lifecycle and continuously improving model performance will be highly valued.
Requirements
- Education: Engineering, Computer Science, Mathematics, Statistics, or a related field.
- Experience: Minimum of 3 years applying ML in production environments.
- Programming: Python (PEP8, Pylint, Black) and adherence to clean coding standards.
- Modeling: Design and training of supervised and unsupervised models.
- MLOps: Data preparation, feature engineering, training, registration, deployment, and monitoring.
- Tools: Databricks for analytics and ML; MLflow for model lifecycle management.
- DevOps: Azure DevOps (Gitflow, CI/CD, version control).
- Best Practices: Model and pipeline testing, environment management (dev, prod).
- Performance: Ability to configure and track metrics (MAE, RMSE, F1, AUC-ROC), anomaly detection, and production alerts.
- Collaboration: Strong communication skills to work with multidisciplinary teams and convey results to both technical and non-technical stakeholders.

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