Hiring Machine Learning Engineer
5 days ago
Role - Machine Learning Engineer
Required Skills & Experience
- 5+ years of hands-on experience in building, training, and deploying machine learning models in a professional, production-oriented setting.
- Demonstrable experience with database creation and advanced querying (e.g., SQL, NoSQL), with a strong understanding of data warehousing concepts.
- Proven expertise in data blending, transformation, and feature engineering, adept at integrating and harmonizing both structured (e.g., relational databases, CSVs) and unstructured (e.g., text, logs, images) data.
- Strong practical experience with cloud platforms for machine learning development and deployment; significant experience with Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery, Dataflow) is highly desirable.
- Proficiency in programming languages commonly used in data science (e.g., Python is preferred, R).
- Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and experience with advanced techniques like Deep Learning, Natural Language Processing (NLP), or Computer Vision.
- Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Familiarity with MLOps tools and practices, including model versioning, monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines.
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes for deploying ML models as REST APIs.
- Proficiency with version control systems (e.g., Git, GitHub/GitLab) for collaborative development.
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