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The Machine Learning Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, implementing ML Ops, writing production-ready code, and collaborating with client teams and global development team to deliver projects. They will also participate in researching and evaluating latest technologies to create prototype solutions.
Build and orchestrate model pipelines, scale machine learning algorithms, enhance ML Engineering platforms, implement ML Ops, write production-ready code, collaborate with teams, and stay updated on latest technologies.
The Machine Learning Engineer at ZS will be responsible for building and monitoring model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies. Requires a Bachelor's/Master's degree in Computer Science or related field, 2-4 years of experience in deploying ML models, expertise in Python/PySpark, and experience in ML platforms like Dataiku and Sagemaker.
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Build, orchestrate, and monitor model pipelines, scale machine learning algorithms, enhance ML engineering platforms, implement ML Ops, write production-ready code, collaborate with client teams, and stay updated on latest technologies.
As a Machine Learning Engineer at ZS, you will be responsible for building and monitoring model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, and collaborating with client teams to deliver projects.
Build, orchestrate, and monitor model pipelines, scaling machine learning algorithms, build and enhance ML Engineering platforms, implement ML Ops, write production-ready code, collaborate with client teams, participate in scrum calls, and research latest architecture patterns/technologies.
As a Machine Learning Engineer at ZS, you will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, implementing ML Ops, writing production-ready code, collaborating with client teams, and staying updated on the latest technologies.
Build, orchestrate, and monitor model pipelines, scaling machine learning algorithms, implement ML Ops, write production-ready code, collaborate with teams, and stay updated on latest technologies.
The Data Science Manager at ZS Discovery will shape and grow ZS's AI capabilities in pharmaceutical discovery, work closely with clients, lead a team of data scientists, develop AI offerings, and present results at industry conferences and journals.
Data Science Manager at ZS Discovery responsible for shaping and growing AI capabilities in pharmaceutical discovery. Leading client relationships, selling AI solutions, and managing a global AI delivery team. Requires a PhD in AI or pharmaceutical research with 6+ years of relevant experience.
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