Job Search Results for Customer Service

AI Staff Engineer - REMOTE

Our Healthcare Insurance Client is looking to hire 2 AI Staff Engineers for a 1 year contract to hire position. This position will be remote work from home with an annual salary of $190-$240K once... More converted to FTE. We are looking for a Staff AI Engineer who isn?t afraid to use all their knowledge and communication skills to tackle complex problems. Our ideal candidate is detail-oriented and able to collaborate on the improvement of our software and systems. You will be involved in the structural design process, estimating costs, and performing quality control throughout the stages of implementation. A first-class staff engineer will be someone whose engineering expertise translates into streamlined and cost-effective processes.To ensure success as a Staff AI Engineer, you should demonstrate specialized engineering knowledge and experience while designing, providing guidance, and implementing solutions to complex problems. You will work with business, information, and technology teams to recommend and implement technology solutions needed to enable leading-edge capabilities and develop comprehensive patterns that outline how those capabilities get realized in response to evolving business needs.Key Responsibilities?Lead the end-to-end design, development, testing, deployment, maintenance, and enhancement of highly scalable, reliable, and secure AI services and applications utilizing AWS Bedrock (including Foundation Models, Knowledge Bases, Agents), the Converse API, AWS SageMaker, AWS Lambda, Amazon S3, and other relevant AWS AI/ML and core services.?Architect robust, efficient, and secure AI/ML computing infrastructures and application stacks capable of handling large-scale data processing and inference demands.?Design and implement solutions leveraging the AWS Bedrock Converse API for unified interaction with foundation models, incorporating advanced features like tool calling and multimodal input processing (text, image, documents).?Develop and implement Retrieval-Augmented Generation (RAG) patterns using AWS Bedrock Knowledge Bases, integrating proprietary data from sources like Amazon S3 and leveraging vector databases to enhance model relevance and accuracy.?Build comprehensive solutions that effectively integrate Bedrock's managed services with custom components, such as AWS Lambda functions for implementing Bedrock Agent actions or custom data processing logic.?Actively research, evaluate, and stay current with the latest advancements, trends, and research in AI/ML, particularly in generative AI, foundation models, large language models (LLMs), and evolving AWS capabilities. ?Champion and implement responsible AI practices, ensuring fairness, transparency, security, and ethical considerations are integrated throughout the development lifecycle, potentially leveraging tools like AWS Bedrock Guardrails.?Collaboration: Collaborate with cross-functional teams, including product managers, architects, and software developers, to define technical requirements and create robust and scalable architectures that meet business objectives?Mentorship: Mentor and guide junior engineers, helping them enhance their technical skills and grow professionally through knowledge-sharing activities, technical training, and fostering a culture of learning within the teamWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Sr. Data Engineer - REMOTE

Our Healthcare Insurance Client is building a new 4 person Sr. Data Engineering team to support growth in 2 major portfolios within their Flagship Secure Member Portal. This team will help handle... More interrupt work and self service work. These positions are remote work from home and will be contract to hire. As a Senior Data Engineer you?ll be an integral part of our team, helping to design, build, and maintain the infrastructure and systems that support the effective collection, storage, and processing of large volumes of data. In this exciting role, you?ll have the opportunity to develop robust data pipelines that effortlessly ingest, transform, and load (ETL/ELT) data from a variety of sources into our digital platforms. Your dedication to ensuring data quality, integrity, and security throughout the data lifecycle will be key, as will your efforts to optimize our data storage solutions for top-notch performance and scalability.Key Responsibilities:- background of data operations including data platform migration tools, specifically AWS DMS- Experience in DBA tasks such as role maintenance, schema deploy/changes and operational environments?Help design and implement scalable data pipelines and architectures that support low-latency and high-performance data processing.?Support and enhance existing data processing platforms deployed in AWS, ensuring optimal performance and scalability.?Collaborate closely with software engineers, product managers, and business analysts to understand data requirements and deliver effective solutions.?Contribute to the development of best practices and standards for data engineering and machine learning, promoting efficiency and quality across projects.?Implement backup, disaster recovery, and failover procedures for mission-critical data systems using AWS services like Amazon RDS.?Help manage and scale Elasticsearch clusters for efficient indexing and retrieval of large datasets for micro-services. ?Ingest data from various sources, such a flat files, streaming systems, and RESTful APIs .?Ensure compliance with data privacy regulations, such as HIPAA, to protect sensitive information.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less