- #Guardian data scientist software#
- #Guardian data scientist code#
- #Guardian data scientist professional#
Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
#Guardian data scientist professional#
In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.Īt Guardian, you’ll have the support and flexibility to achieve your professional and personal goals. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. The salary range reflected above is a good faith estimate of base pay for the primary location of the position. This position is a Flex 2 category requiring 2 days a week in one of the following office locations: This can allow for quick creation and prototyping for AI initiatives. For example: You can learn Agile development and gain an understanding of using Scrum.
AI strategy development! You will help devise, along with data scientists and ML architects, the long-term AI growth plan, keeping in mind the scalability and availability of resources. Strong collaboration skills! At Guardian, they might be part of a team of data scientists, model owners and an ML architect. Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks. Knowledge about data engineering concepts, tools and automation processes (DataOps) since data pipelines and architectures provide the base for building AI solutions. Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Familiarity with ML algorithms, AI use cases and applications? Should have knowledge of, but not expertise in, open-source high-code frameworks like PyTorch or TensorFlow, augmented AI and ML platforms, pretrained ML models and integrated AI PaaS tools. These include model size (what is the size of the model), inference performance (speed at which results are returned for inference), memory consumption (how much memory will be consumed once in production), model observability and drift. 
Ability to evaluate the performance and supervising characteristics of the ML model. #Guardian data scientist software#
Proficient in software engineering (C++, Java, Python), infrastructure provisioning and DevOps principles, whether they are related to infrastructure as code, microservices architecture or CI/CD automation. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams. Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines fostering these repositories and the ML feature or data stores are working as intended. Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications. Optimize AI development environments (development, testing, production) for usability, reliability and performance. This can include supervising for data drift, triggering model retraining and setting up rollbacks. Develop AI and ML pipelines for continuous operation, feedback and monitoring of ML models demonstrating standard processes from the CI/CD vertical within the MLOps domain. #Guardian data scientist code#
Examples include refactoring Python code written on Jupyter Notebook to PySpark. Perform data analysis and create data visualizations and reports.Build, tune and scale out the ML models as per Business needs.Driven by a desire to deliver outstanding customer service and a rock-solid stable AI platform, you will be successful through successful operation of our automation platforms. Data Scientist, Generative AI and are seeking a self-starter who can work independently to implement and operate new technologies that help Guardian Life advance its Automation & Artificial Intelligence objectives. We have an opportunity in the role of Sr.
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