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DaVita is seeking a Nurse who is looking to give life in an outpatient dialysis center. You can make an exceptional difference in the lives of our patients and their families dealing with end-stage renal failure or chronic kidney disease. Do you desire to deliver care in an empathetic, compassionate way - the way you'd want your own care to be?If you haven't considered Nephrology before, read on as we think that you should.DaVita – which is Italian for "giving life" – is working to provide quality service to patients, partners, and teammates. Our mission is to be the Provider, Partner, and Employer of Choice.Some details about this position:No Dialysis experience is required.Training may take place in a facility or a training clinic other than your assigned home clinicFloat to various clinics during and after your trainingYou must have a flexible schedule and be able to work mornings, evenings, weekends, and holidayWhat you can expect:Build meaningful and long term relationships with patients and their family in an intimate outpatient setting.Be a part of a team that supports and relies on each other in a positive environment.Deliver care to patients who are often dealing with multiple co-morbidities which require unique treatment plans and the ability to leverage a broad range of nursing skills and knowledge.Oversee a group of patients with the support of PCTs to conduct patient observations, measuring stats and machine set up.You will work with your head, heart and hands each day in a fast paced environment.What we'll provide:DaVita Rewards package connects teammates to what matters most including:Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash outSupport for you and your family: family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave, pet insurance, and morePaid trainingRequirements:Associates Degree in Nursing (A.D.N) from accredited school of nursing required; Bachelor of Science in Nursing (B.S.N); three-year diploma from accredited diploma program may be substituted for nursing degreeYou might also have experience in the following that can be helpful but not requiredIntensive Care Unit (ICU), Critical Care Unit (CCU), Emergency Room (ER), or Medical Surgical (Med Surg) experienceCertified Nephrology Nurse (CNN) or Certified Dialysis Nurse (CDN)DaVita is a clinical leader! We have the highest percentage of facilities meeting or exceeding CMS's standards in the government's two key performance programs. We expect our nurses to commit to improving patient health through clinical goal setting and quality improvement initiatives.

Glassdoor Inc. • Orangeburg, Stati Uniti

ML Engineer (Python Backend) - Sr. I/II or StaffLocation: US/Europe Remote or Bay Area Welcome to the AI/ML team at Albert Invent! A fast-growing and innovative company revolutionizing the chemical industry through a cutting-edge data management and AI platform. As a Python ML Software Engineer, you will play a critical role in our mission to streamline workflows and provide robust, scalable solutions that support AI/ML capabilities for thousands of researchers worldwide. We are seeking a highly motivated and talented individual with a passion for backend engineering and data systems. In this role, you will have the opportunity to unleash your creativity, intelligence, and curiosity to build scalable services and data engineering solutions that empower researchers and chemists at leading chemical and materials organizations to push the boundaries of innovation. At Albert Invent, we value collaboration, creativity, and a drive to make a real impact in the world. If you are looking for a dynamic and exciting work environment, where you can contribute to the growth of a rapidly growing startup and make a real difference in the chemical industry, then we encourage you to apply! Position Overview: We are seeking an exceptional ML Engineer with a focus on backend ML systems to join our AI/ML team. This role prioritizes designing and developing scalable, fault-tolerant backend services, while maintaining a strong focus on scalable ML systems. You will play a critical role in building robust infrastructure to support high-performance applications and tools, enabling seamless data integration and transformation to power AI/ML capabilities. Performance Objectives: Here is what you will be doing as a ML Engineer at Albert Invent:·       Scalable Backend Service Development:o   Design, build, and maintain scalable, fault-tolerant backend services in Pythono   Develop microservices architectures to ensure high availability and low latency.o   Optimize system performance to handle large-scale data and application demands.·       Data Engineering and Integration:o   Develop and maintain data pipelines for ingestion, transformation, and storage to enable AI/ML workflows.o   Support the creation of data engineering abstractions that align with backend service requirements.o   Collaborate with platform and ML engineers to design systems that facilitate the integration of AI/ML models with backend services.·       System Reliability and Fault Tolerance:o   Implement robust error-handling, monitoring, and alerting mechanisms to ensure system resilience.o   Develop solutions to minimize downtime and maximize service reliability.o   Troubleshoot and resolve system bottlenecks and failures.·       CI/CD and Deployment Pipelines:o   Design, implement, and maintain CI/CD pipelines for backend services and data engineering workflows.o   Ensure seamless code integration, testing, and deployment processes.o   Promote automation and best practices to enhance the development lifecycle.Adoption of Emerging Technologies:Stay informed on the latest trends and tools in backend engineering and data engineering.Introduce and implement new technologies to improve service scalability, data integration, and developer productivity.·       Collaboration and Cross-Functional Teamwork:o   Work closely with AI/ML, data engineering, and platform teams to understand and deliver on technical requirements.o   Contribute to architectural decisions that impact the overall platform ecosystem. What You’ll Bring:A strong passion for backend engineering and scalable data systems.An ability to prioritize system scalability and fault tolerance while focusing on data engineering excellence.A collaborative mindset and excellent communication skills.A commitment to quality and innovation in backend and data engineering.Required Qualifications:A degree in Computer Science, Data Engineering, Software Engineering, or a related field with 5-8 years of industry experience (Bachelor’s) or 4-6 years of industry experience (Master’s or PhD) backend software development, emphasizing expertise in building scalable, fault-tolerant services and robust data engineering solutions.Advanced knowledge of the modern Python web application development (e.g., FastAPI, SQLAlchemy, Pydantic)Experience with relational and NoSQL database systems.Strong understanding of distributed systems and microservices architecture.Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).Preferred/Bonus Points:Knowledge of Chemistry/Materials Science, Materials Informatics, or related fields.Experience with strongly typed/compiled languages for web application development (e.g., Go, Rust, Scala)Familiarity with Ray or other ML Training and distributed computing frameworks.Expertise in system monitoring and observability tools (e.g., Prometheus, Grafana).Experience with data engineering tools (e.g., Airflow, Delta Lake, Dask).Experience with Unix scripting and version control systems (e.g., Git).Prior experience working in AI/ML-focused environments using tools such as Ray, Torch, Kubeflow.Proven track record of building and managing CI/CD pipelines.Experience mentoring junior developers/engineers in best practices Culture:·       The Albert Invent team uses an iterative/agile development methodology, and you will be a key contributor in the entire development cycle.·       At Albert, we put a great deal of emphasis on collaboration and maintaining an open working environment—having great coworkers is one of the biggest determinants for enjoying your work, and we take our enjoyment of work very seriously.·       Your opinions matter. We are driven by technology and innovation, and we look to the smartest, most passionate people on the team as the source of ideas.

Albert Corporation • Oakland, Stati Uniti