Job details
Job type full-time
Full job description
Data and analytics is different hereOur work as technology specialists pushes the boundaries of what’s possible in health careYou will build solutions that make a real difference in people’s livesDriven by the importance of their work, our team members innovate to elevateWe’re encouraged to be curious, collaborate, and turn ideas into solutions that transform health care.
When joining the team, you will be responsible for the designing and engineering of various and complex aspects of machine learning architecture and services in cloud hosted infrastructuresYou’ll work independently to analyze current and future requirements to effectively design analytics platform solutions while determining design feasibility from both technical and economic perspectivesWe expect you to partner with varied technical, business, project, and management staff to identify and plan, assess analytical designs and impacts, while developing solutions to any resolve design problems.
If you are ready to make a career out of making a difference, then you are the person for this team.
What you’ll be doing:
Independently plan and develop complex engineering designs in support of the implementation of platform for integrated software, database, and analytics solutionsDevelop an analytic technology ecosystem so that the tools work seamlessly together
Ensure data scientists, data engineers, and analysts have the tools needed on the analytics platform
Define and develop platform to fit the needs of data and analytics and support advanced analytics
Provide expertise and knowledge in emerging technologies with strategic technology vendors
Participate in software and hardware licensing, financial and capacity activities within the environment
Proactively provide information and ongoing consultation for dna and business
Execute the detailed design of larger and/or more complex internal projects collaborating with it stakeholders, service owners and partners.
Provide operational readiness through the engineering, planning, coordination, and execution of performance and tuning analysis, systems support, incident and problem resolution, software installation, and upgrades.
Provide detailed guidance and consultation in solutioning production incidents when required.
Maintain appropriate standardized guidelines, work procedures and schedules to expedite workflow and ultimately improve efficiencies.
Build collaborative relationships with the broader architecture community to effectively maintain technical roadmaps and provide input into strategies and standards related to area of specialization.
Collaborate with vendors on infrastructure/technology designs to ensure the final product is what was architected or designed and supports dna needs
Provide direction and assistance to less experienced team members as needed.
What you bring:
Bachelor’s degree and 5 years of cloud engineering/architecture experience is required.
In lieu of degree, 7 years of cloud engineering/architecture experience.
2 years of experience deploying robust machine learning apis in production environments (ideally cloud-based environments such as gcp or aws) - from model training and versioning to observability and delivery to consumers.
Experience with kubernetes.
Experience building auto-scaling ml systems.
Experience with machine learning lifecycle platforms (mlflow / kubeflow)
Strong python programming skills.
Experience with databases and data structuring/warehousing.
Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
Additional experience:
A passion for creating innovative techniques and making these methods robust and scalable.
Strong verbal and written communication skills, including the ability to interact effectively with colleagues of varying technical and non-technical abilities.
