We are seeking a highly skilled Machine Learning Engineer with 23 years of experience of applying AI/ML techniques to solve business problems. The ideal candidate will be responsible for developing implementing and maintaining machine learning models and systems in TrusTrace. They should have a strong understanding of NLP machine learning and deep learning techniques as well as prior experience in developing models for text classification document analysis and/or building conversational AI systems.
Responsibilities:
Proactively identify the key areas where AI/ML can lead to transformational impact inside the existing business or platforms
Design develop and implement AI/ML models and systems for different modalities including NLP (preferred) and Computer Vision.
Collaborate with technical architects and software engineers to build scalable efficient and reliable solutions
Conduct experiments and evaluate performance of AI/ML models
Optimize and finetune machine learning models for accuracy and speed
Develop custom algorithms as needed to solve specific business problems
Keep up to date with the latest research and advancements in NLP technologies
Communicate technical concepts and solutions to both technical and nontechnical stakeholders.
Requirements:
Bachelors or Masters degree in computer science
23 years of handson experience in machine learning NLP and deep learning techniques
Strong programming skills in Python and experience with relevant libraries (e.g. TensorFlow PyTorch Keras scikitlearn)
Experience with cloudbased machine learning platforms such as AWS SageMaker and/or Microsoft Azure
Strong analytical and problemsolving skills
Ability to work independently and in a team environment
The opportunity to drive change and break new grounds to enhance and strengthen the visual identity of a growing global scaleup company committed to accelerate sustainable transformation in fashion.
To be part of a great multicultural multilingual team.
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.