Developer – Machine Learning
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Job Description
Machine Learning Developer responsible for end-to-end data science cycles at iHorizons. Designing and implementing machine learning models and collaborating with cross-functional teams.
Responsibilities:
- You will be 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, analyzing results, and presenting findings to stakeholders across tech and business domains.
- 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:
- Health insurance
- Professional development
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