This role involves assembling complex datasets, performing data mining and exploratory analysis, and communicating insights to stakeholders to support data-driven decision-making in a healthcare context. The position requires proficiency in Python or R and experience with data analysis tools and infrastructure.
Responsibilities Team Leadership: Manage and mentor a specialized team of FA engineers; oversee lab operations, including equipment maintenance and safety protocols Root Cause Investigation: Lead deep-dive…
The Cyber Security Operations Specialist leads technical teams in managing and improving network and security infrastructure, focusing on automation, incident resolution, and compliance. The role requires extensive experience with Cisco, Arista, and various security platforms to ensure system reliability and support technology roadmaps.
The Data Analyst will support digital transformation projects by analyzing operational requirements, managing project implementation, and performing statistical analysis. The role utilizes tools such as Microsoft Power Platform, PowerBI, MS SQL, and Python to improve operational efficiency.
The Data Analyst will collaborate with clinical and operations teams to mine, clean, and analyze healthcare datasets using tools like SQL, Python, Excel, and Tableau. The role involves developing dashboards and providing strategic recommendations to support operational excellence within a healthcare environment.
The Data Analyst/Scientist will manage complex datasets, perform exploratory data analysis, and build data infrastructure to provide actionable insights for healthcare stakeholders. The role requires proficiency in Python or R and strong communication skills to translate technical findings for non-technical teams.
This role involves leading data analytics strategies in a healthcare setting, including building automated pipelines and deploying agentic AI systems. The candidate will analyze large datasets and collaborate with clinical teams to support research and quality improvement initiatives.
The Data Science Engineer will develop, validate, and deploy machine learning, deep learning, and generative AI models for production environments. The role involves building data pipelines, performing data validation, and maintaining analytical systems using Python and SQL.
The Data Science Engineer (IoT) designs, develops, and maintains IoT systems, including hardware-software integration, data pipelines, and edge device optimization. The role requires proficiency in Python and experience with microcontrollers, sensors, and IoT communication protocols.
The Data Scientist will analyze plasma dry etch process data to troubleshoot customer issues and optimize manufacturing performance using machine learning and statistical modeling. The role involves collaborating with field engineering teams and training local staff on analytics tools like JMP and KNIME.
The Embedded Software Engineer will develop and maintain C/C++ software for embedded Linux platforms, including device drivers and network communication. The role involves board bring-up, system integration, and close collaboration with hardware engineering teams.
The Backend Engineer will build and operate scalable systems to power AI-enabled features, focusing on inference pipelines and API development. The role utilizes Python, Node.js, PyTorch, and LLM technologies to ensure high-performance production reliability.
The Big Data Platform Administrator provides Level 2 support for critical data infrastructure, including Hadoop, Kafka, MongoDB, and Redis. The role involves system maintenance, performance tuning, and incident management for high-volume payment processing environments.
The Business Analyst will gather and document requirements for market data systems, collaborating with stakeholders and developers to translate business needs into functional specifications. The role requires expertise in financial market data, SQL, and programming languages like Python or R to support the trading lifecycle.
Job Responsibilities Develop and implement data analytics strategies aligned with business goals Lead and manage a team of data analysts or scientists Collaborate with other department heads to identify data-driven…
The Associate Cloud Platform and DevOps Lead will design and manage Azure-based cloud services, oversee CI/CD pipelines, and maintain hybrid container platforms using Red Hat OpenShift. The role involves enforcing engineering standards and mentoring a team of cloud architects within a banking environment.
Responsibilities: Application Monitoring Define and implement application monitoring in collaboration with the build team. Supervise and monitor daily and monthly batch chains, coordinating with project,…
The Applied AI Engineer will design, develop, and deploy AI-powered features, focusing on LLM integration, prompt engineering, and AI agent workflows. The role involves optimizing system performance and building evaluation frameworks to ensure reliable production-grade AI solutions.
AI / ML & GenAI Solution Development Design, develop, and deploy AI/ML and Generative AI solutions to optimize high-volume drive manufacturing operations. Build machine learning models for predictive maintenance,…
Main Responsibilities Quickly resolve user-impacting incidents through thorough investigation and consistent communication throughout the incident lifecycle. Proactively identify workarounds and effectively coordinate…