Reejig
Published 30 Aug 2024
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Sydney, Australia
Full Time
Role Highlights
Python
Data Science
Generative AI
Prompt Engineering
Named Entity Recognition
Text Classification
Computer Science
Integrations
Data Quality
Cloud
Startup
Deployment
LLMs
Operations
NLP
DataSets
Optimization
Tools, Libraries and Frameworks
AWS
Tensorflow
PyTorch
Scikit-learn
Description
Reejig is focused on revolutionizing the future of work through AI-driven solutions that help organizations optimize their workforce by finding, mobilizing, and upskilling talent. The Senior Machine Learning Engineer role involves developing and refining algorithms and models, as well as designing end-to-end machine learning pipelines. This role emphasizes collaboration with cross-functional teams to drive successful project outcomes while utilizing the latest advancements in machine learning and AI technologies. Reejig's commitment to a diverse workforce and innovative methodologies aims to unlock the potential of every individual in their careers.
Required Qualifications and Skills
The ideal candidate is expected to hold a Bachelor's or Master's degree in fields related to Computer Science, Data Science, or Machine Learning. A minimum of 5 years of proven experience in roles such as ML Engineer, Data Scientist, or Data Engineer is required, with a strong focus on algorithm development. Extensive hands-on experience in natural language processing techniques and proficiency in Python and machine learning frameworks are critical. The role also demands experience with end-to-end machine learning pipelines and AWS cloud services, along with strong analytical, problem-solving, and collaboration skills.
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