Job Description
- Job Description:
- Responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models.
- Design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.
- Work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale.
- Analyze results, and present findings to stakeholders across tech and business domains.
- Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.
- Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.
- Requirements:
- Bachelor's degree in data science, statistics, and computer science is a MUST.
- Google Cloud - Professional Machine Learning Engineer Certificate
- Google AgentSpace implementation experience
- 3-4+ Years of experience in data science or machine learning.
- Must have strong experience in at least one of the following areas: Vision models NLP models (Experience in Arabic NLP is a huge plus)
- Proficient in python, TensorFlow, keras and pytorch.
- Good experience in: SQL and non-relational databases.
- Data analytics reports generation.
- ML model development deployment.
- Benefits:
- Professional development opportunities
- Flexible work arrangements
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