Senior Engineer - Applied AI
Senior Engineer - Applied AI
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Salary Not Disclosed
1 Vacancy
Job Description
Skills and Qualifications
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PhD or Masters in Computer Science Machine Learning Statistics Mathematics or a related field
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10 years of industry experience with focus on building machine learning and AI-native solutions and platforms
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Proven experience leading AI product development at scale driving business impact and delivering real-world value
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Deep expertise in ML frameworks (e.g. TensorFlow PyTorch) and programming languages Python C
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Strong technical foundation in deep learning NLP unsupervised learning LLM compute time inference and reasoning e.g. CoT prompting
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Hands-on experience with Generative AI and LLMs with a track record of delivering business-critical AI solutions
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Expertise in distributed computing GPU/multi-GPU training and large-scale data processing
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Ability to translate business needs into technical solutions and ensure alignment between AI initiatives and business goals (e.g. increasing conversion improving personalization optimizing ranking)
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Strong problem-solving mindset and the ability to build scalable solutions that drive product and business outcomes
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Exceptional communication skills with the ability to articulate complex technical concepts and their business implications to both technical and non-technical stakeholders
Employment Type
Full-time
