At SGS Consulting, we go beyond resume-job matches, creating meaningful connections and pathways for individuals to thrive in defining careers.
© 2026 All rights reserved.
SGS_JOB_2430
Contract - 12 Months
• Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches. • Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement. • Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights. • Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources. • Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs. • Integrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of customer experience drivers. • Advocate for customers and influence corrective actions through periodic and ad-hoc reporting, proactively evangelizing insights among key stakeholders. • Collaborate with cross-functional teams to identify root causes of customer issues and develop action plans to remediate and measure effectiveness. • Communicate complex technical concepts to non-technical stakeholders.
Location (mandatory): Remote (EST Only) We're seeking experience a software engineering with a background in building web apps with 3+ years of experience in Python to help us build the next generation of computer-use agents. Your role will be to grow our app simulation pipeline for training and evaluating computer-use agents. You'll be contributing to the frontiers of AI agent research. Interviews: Technical (discuss previous projects) and team fit (interest, previous experience collaborations. Technical/coding interview in Python.
Location (mandatory): Remote (EST Only) We're seeking experience a software engineering with a background in building web apps with 3+ years of experience in Python to help us build the next generation of computer-use agents. Your role will be to grow our app simulation pipeline for training and evaluating computer-use agents. You'll be contributing to the frontiers of AI agent research. Interviews: Technical (discuss previous projects) and team fit (interest, previous experience collaborations. Technical/coding interview in Python.
Job Description The role is an AI engineer in the AI research team to execute its engineering tasks. The team aims at driving innovation towards superintelligence from the perspective of data curation algorithms for perception, better modeling of spatial and temporal knowledge, and more efficient research tools. We work on research in various modalities (e.g., CV, NLP, embodied AI) and build large scale foundation data and models with high quality and diversity. In this role, you will be embedded into the team and other AI research collaborators to convert ideas into implementation and solutions. You will build new algorithms, new functionalities, and new architectures in our research platforms. You will participate in the team publication effort to turn works into broad research outcomes and push the research frontier in superintelligence.
We are looking for a skilled Linguistic Engineer to join our team to build, maintain, and analyze datasets powering LLM powered features. In this role, you will be instrumental in building and assessing the quality of data processed by our LLM production systems. Using new and existing data quality workflows and pipelines, you will collaborate closely with a cross functional team of engineers, research scientists, project managers, and data scientists to build datasets for, report on, and generally guide improvements on our LLM powered features, ensuring their accuracy and reliability in smart glasses applications.
Location : Sunnyvale, CA, Summary • As Product Lifecycle Analyst (PLM) at Client, you will take on a critical role in bringing AR/VR to our customers. You will work side-by-side with engineering and business teams that are leading innovation in this exciting new product category. • The PLM Analyst will support a variety of product projects through the entire product lifecycle including concept, prototype, new product introduction, and sustaining PLM activities. Product types include research, consumer intent, accessories, and service offerings. You must be flexible, responsive, and able to manage competing demands.
Role Summary: • We are seeking a Software Test Engineer experienced in verifying VoIP software applications, specifically those integrated with LMR systems. • The ideal candidate possesses a robust command of Windows and Linux operating systems, virtualization technologies, fundamental networking, and test automation.
At SGS Consulting, we go beyond resume-job matches, creating meaningful connections and pathways for individuals to thrive in defining careers.