
Data Science Professional
1 week ago
The role involves designing and developing novel machine learning solutions for engineering problems. You will lead brainstorming sessions to identify and solve complex problems, create and maintain metadata for operations data sources, and shadow the technical lead on ITIL service management processes.
Key Responsibilities:
- Develop novel machine learning solutions for engineering challenges.
- Lead cross-functional teams in brainstorming sessions to resolve complex issues.
- Design and implement effective metadata systems for operational data sources.
- Support the technical lead in maintaining and implementing ITIL Service Management processes.
Requirements:
- Experience with ML Python libraries such as Jax, Scikit-learn, PyTorch, TensorFlow, Wandb, etc.
- Data preprocessing, normalization, one-hot encoding, and text embedding skills.
- Understanding of graph data structures and time-series analysis.
- Ability to deploy models, work with data pipelines, and support production systems.
Qualifications:
- Mastery over multiple machine learning algorithms and techniques.
- Proficiency in programming languages like Python.
- Strong problem-solving skills with a focus on analytical reasoning.
- Excellent communication and teamwork skills.
Benefits:
This position offers opportunities for professional growth and development in the field of machine learning. The ideal candidate will have a strong passion for innovation and a commitment to delivering high-quality results.
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