We are seeking for an experienced, hands-on Senior ML / AI Engineer to join the Generative AI applications platform group and lead the implementation and integration of AI/ML solutions.
As a Senior ML / AI Engineer you will…
Understand the challenges our users face and how to integrate and implement AI/ML solutions to solve those challenges
Work with stakeholders such as engineers, Product Management, and analysts to translate business problems to technical requirements and solutions
Design, develop, and implement POCs for ML models and GenAI solutions to address business needs and objectives
Provide technical guidance and mentorship to development teams on AI/ML technologies and practices
Build ML capabilities from ideation to production.
As a Senior ML / AI Engineer you will…
Understand the challenges our users face and how to integrate and implement AI/ML solutions to solve those challenges
Work with stakeholders such as engineers, Product Management, and analysts to translate business problems to technical requirements and solutions
Design, develop, and implement POCs for ML models and GenAI solutions to address business needs and objectives
Provide technical guidance and mentorship to development teams on AI/ML technologies and practices
Build ML capabilities from ideation to production.
Requirements:
5+ years of proven experience in AI / ML roles that include both research and production hands on work
5+ years of experience writing production-grade code in Python using modern paradigms such as Event Driven Architectures, microservices, and the like
Proficiency in building, training, running, and evaluating deep learning models using Hugging Face, Pytorch, Tensorflow, or similar frameworks
Proficiency in building production-grade Generative AI applications using techniques such as multi-agent architectures, RAG and fine tuning
Experience with the entire ML model lifecycle, from ideation all the way to productization
Experience with MLOps frameworks such as Amazon SageMaker, Vertex AI or similar for building end-to-end ML pipelines
Deep understanding of ML theory and the techniques to apply it in the real world, such as tuning, feature and error analysis, cross-validation, and over/underfitting
Bachelor's degree or higher in Computer Science or a similar computational discipline
Excellent problem-solving abilities and analytical skills
Strong communication and team collaboration skills.
5+ years of proven experience in AI / ML roles that include both research and production hands on work
5+ years of experience writing production-grade code in Python using modern paradigms such as Event Driven Architectures, microservices, and the like
Proficiency in building, training, running, and evaluating deep learning models using Hugging Face, Pytorch, Tensorflow, or similar frameworks
Proficiency in building production-grade Generative AI applications using techniques such as multi-agent architectures, RAG and fine tuning
Experience with the entire ML model lifecycle, from ideation all the way to productization
Experience with MLOps frameworks such as Amazon SageMaker, Vertex AI or similar for building end-to-end ML pipelines
Deep understanding of ML theory and the techniques to apply it in the real world, such as tuning, feature and error analysis, cross-validation, and over/underfitting
Bachelor's degree or higher in Computer Science or a similar computational discipline
Excellent problem-solving abilities and analytical skills
Strong communication and team collaboration skills.
This position is open to all candidates.
