Senior Developer – Machine Learning
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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Apply To this Job
• 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
Apply tot his job
Apply To this Job