Applied Scientist II, MENA Stores
Job Description
We are seeking a highly talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region.In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities• Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers.• Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation.• Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics.• Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc.• Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact.• Contribute to the broader scientific community by publishing your work at top-tier conferences and journals.A day in the lifeDiving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art.About the teamMENA tech is spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world
Locations
- India, TS, Hyderabad, Hyderabad, TS, India
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
80,000 - 140,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Experience building machine learning models or developing algorithms for business applicationintermediate
- - Bachelors or PhD or Master's degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience.intermediate
- - Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet.intermediate
Required Qualifications
- - Experience building machine learning models or developing algorithms for business application (experience)
- - Bachelors or PhD or Master's degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. (experience, 4 years)
- - Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. (experience)
- - Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. (experience)
- - Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. (experience)
- - Excellent communication and collaboration skills to effectively work with cross-functional teams. (experience)
Preferred Qualifications
- - Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. (experience)
Responsibilities
- • Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers.
- • Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation.
- • Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics.
- • Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc.
- • Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact.
- • Contribute to the broader scientific community by publishing your work at top-tier conferences and journals.
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Applied Scientist II, MENA Stores
Job Description
We are seeking a highly talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region.In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities• Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers.• Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation.• Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics.• Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc.• Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact.• Contribute to the broader scientific community by publishing your work at top-tier conferences and journals.A day in the lifeDiving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art.About the teamMENA tech is spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world
Locations
- India, TS, Hyderabad, Hyderabad, TS, India
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
80,000 - 140,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Experience building machine learning models or developing algorithms for business applicationintermediate
- - Bachelors or PhD or Master's degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience.intermediate
- - Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet.intermediate
Required Qualifications
- - Experience building machine learning models or developing algorithms for business application (experience)
- - Bachelors or PhD or Master's degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. (experience, 4 years)
- - Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. (experience)
- - Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. (experience)
- - Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. (experience)
- - Excellent communication and collaboration skills to effectively work with cross-functional teams. (experience)
Preferred Qualifications
- - Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. (experience)
Responsibilities
- • Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers.
- • Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation.
- • Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics.
- • Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc.
- • Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact.
- • Contribute to the broader scientific community by publishing your work at top-tier conferences and journals.