... AI solutions using real-world enterprise datasets. What you'll bring - 8 + years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or ...
... Microsoft SQL Server Administration. Strong knowledge of database performance tuning and query optimization techniques. Experience in troubleshooting complex database issues and providing timely resolutions. Familiarity with backup, recovery, and disaster recovery strategies for database systems. Ability to analyze system ...
... Management and related technologies. - Utilise Integration Advisor, Event Mesh, and Open Connectors where appropriate. - Design and implement integrations using OData, REST, SOAP, IDoc, RFC, FTP, and SFTP . - Work with data formats including XML, JSON, CSV, and XSL/XSLT for transformation and processing. - Develop custom integration ...
... amplify each brand's unique story. TRZY's culture values innovation, collaboration, and bold creative thinking. Role Description The Creative Art Director will lead the visual and conceptual direction of events and brand experiences, ensuring all design elements align with client objectives and TRZY's creative standards. ...
... to translate business problems into data-driven solutions. - Perform feature engineering, model evaluation, validation and optimization. - Handle end-to-end data science projects from problem definition to production deployment. - Contribute to improving existing ML models, data pipelines and analytical processes. Required ...
Project Role : Business Function Implementation Lead Project Role Description : Plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. Ensure alignment with business requirements including process analysis, design/re-design and/or ...
Burns & McDonnell India is looking for an experienced candidate to join our Global Facilities Group in Bangalore office to lead and support electrical design activities involved on Onsite Energy, Data Center, Food & Beverages, Aerospace & Industrial, Consumer life solution & Commercial projects mainly in USA. This position ...
... observability architecture, tool assessment and consolidation, automation, and enterprise monitoring https://jobeax.com/link/ueFYa7CSMmgwO14a Responsibilities : - Lead the design, implementation, and optimization of enterprise monitoring and observability solutions.- Configure and manage Datadog, Zabbix, and Device42, including ...
... Line-of-Business, you will work at the intersection of HCM domain expertise, enterprise data, applied AI, and agentic technologies—helping shape how employees, managers, HR leaders, and businesses interact with SAP through intelligent experiences. You will collaborate with product, engineering, data, and research teams to ground autonomous ...
... algorithms, data structures, performance optimization, scalability, reliability, and security best practices.- Proven ability to influence technical strategy, lead organizational change, mentor engineering teams, and drive cross-functional alignment.- Demonstrated commitment to engineering excellence through testing, observability, ...
... Of Hire : Experienced (relevant combo of work and education) Education Desired : Bachelor of Business Administration About the Role As an Ethics & Compliance Lead, you will manage key components of the Company's Ethics & Compliance Program, including whistleblower and misconduct investigations, conflicts of interest oversight, ...
... Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. As a Senior Data Engineer you'll be a core part of our engineering team. You will bring your valuable experience and knowledge, improving the technical quality of our data-focused ...
... data engineering, with at least2 years in technical leadership or management roles. - Proven experience validating complex ETL pipelines, business logic, and data transformations across large-scale systems. - Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic ...
... Senior Data Scientist who has built and shipped credit decisioning systems (scorecards, BRE, feature pipelines) in digital lending. Own end-to-end credit & fraud data science : feature engineering from raw bureau JSON ,SMS,DEVICE, scorecard / model development, Business Rule Engine (BRE) design, monitoring, and partnering with ...
... applications. The role combines hands-on Java development, technical leadership, architecture, and team management , with a strong focus on modern backend engineering and distributed systems. The ideal candidate will have deep expertise in Java, Spring Boot, Microservices, REST APIs, Kafka, and databases , along with proven ...
... Technical leadership: Lead and mentor AI/ML and backend engineers, conduct architecture and design reviews, participate in code reviews, and establish strong engineering standards for production AI. - Cross-functional collaboration: Partner with Product, Data Science, Platform, Security, and Compliance teams to ensure AI ...
... platforms, big data technologies, and data integration tools, with a keen interest in the healthcare domain and emerging AI accelerators. Role: Senior Data Engineer Location: All Persistent Location Experience: 6 to 8 Years Job Type: Full Time Employment What You'll Do: Design, implement, and maintain scalable data engineering ...
TRIARQ Health is a leading healthcare technology company delivering innovative solutions to enhance patient care and streamline operations. Job Title: DevOps Team Lead Job Type: Full-Time Experience Level: 4–5 Years We are seeking a highly motivated DevOps Team Lead Engineer with 4–5 years of experience to join our team. ...
Lead Data scientist Lead Data scientist The Lead Data Scientist architects, builds, and runs production-grade Machine Learning and Generative AI systems—owning the full lifecycle from model development to scalable cloud deployment and ongoing performance monitoring . In addition, the role partners with commercial stakeholders ...