What are the responsibilities and job description for the Machine Learning Data Engineer position at Prudent Technologies and Consulting?
Job Details
The Machine Learning Engineer plays a critical role in building and maintaining the data infrastructure and pipelines necessary to support Client's Network Strategy, Design, and Innovation department. This position involves leveraging machine learning techniques to enhance data-driven decision-making and optimize operations within our systems.
Basic Qualifications:
- Strong proficiency in Python and SQL, with experience in building data pipelines and deploying machine learning models.
- Advanced analytical skills and the ability to independently conduct complex analyses.
- Excellent interpersonal and communication skills, both verbal and written.
- Ability to manage multiple projects and deadlines simultaneously.
- Proficiency in using data visualization tools such as Tableau or Power BI.
- Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).
PREFERRED QUALIFICATIONS:
- Bachelor s and/or Master's degree in analytics, computer science, or a related field.
- 3 years of experience in ML/Optimization
- Demonstrated experience with machine learning life cycle management and operationalization.
- Knowledge of deep learning model building and implementation.
- Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and CI/CD tools (e.g., Jenkins, GitLab CI).
- Familiarity with PySpark and experience working with Databricks.
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