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Lead the design and development of AI/ML models for healthcare. Collaborate with business partners and other teams to ensure high-quality execution and adherence to architectural principles.
Top Skills:
Azure Ai ServicesDatabricksPythonSQL
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead end-to-end generative AI and ML initiatives: design scalable AI architectures, build and productionize models, run experiments and A/B tests, analyze healthcare datasets, implement MLOps, research novel approaches, and mentor/hire AI/ML engineers.
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Python,Pytorch,Tensorflow,Hadoop,Spark,Microsoft Azure,Generative Ai,Llms,Gnns,Gans,Transformers,Ssms,Mlops
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead end-to-end AI/ML projects: research, prototype, optimize, and productionize ML and LLM solutions for healthcare. Mentor and recruit teams, run experiments and A/B tests, present results to leadership, and pursue AI research and IP.
Top Skills:
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Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
Must have Skills : TensorFlow, Machine Vision,
Job Description :
- Leading AI/ML competency Machine Vision, NLP, Generative AI
- Proficiency in Python programming languages
- Expertise in machine learning frameworks and libraries such as TensorFlow, Keras, or PyTorch
- Expertise in machine vision use cases - Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Ability to design, train, and fine-tune various machine learning models, including deep learning models.
- Understanding of cloud computing platforms aws/azure/gcp
- Proficiency in SQL and NoSQL databases
- Deploying and monitoring ML models on cloud using docker and lambda
- Ability to design scalable and robust systems and APIs
Nagarro Melbourne, Victoria, AUS Office
Collins St, Regus Level 32/367, Melbourne, VIC , Australia, 3000
What you need to know about the Melbourne Tech Scene
Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
