Bright Vision Technologies is seeking a Data Science Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations, analytics, and decision-making.
Locations (2)
Frisco, Texas, United States
North Dallas, Texas, United States
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Develop and maintain data pipelines, transformations, reports, models, or platform components as required by the role.
Translate source-to-target and business requirements into validated technical data solutions.
Implement data quality checks, access controls, monitoring, and failure-recovery procedures.
Tune SQL, processing jobs, models, dashboards, or platform resources for performance and cost.
Document data definitions, lineage, operational procedures, and technical decisions.
Build AI that runs inside production systems used by national health and government organisations, owning scoped components such as model integration, agent tools, APIs, data pipelines, or evaluations from implementation through to delivery.
Responsibilities
Own scoped components of systems, such as a model integration, agent tool, API, data pipeline, or evaluation, from implementation through to delivery
Make components work reliably on real data
Build AI that runs inside production systems used by national health and government organisations
Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design).
Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.
Participate in cross functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions that solve high-priority business problems.
Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications.
Champion automation in workflows—from data management ingestion and preprocessing to evaluation, to model integration and deployment.
Lead the design, development, and production of generative AI solutions for commercial insurance, driving enterprise AI capabilities and best practices.
Locations (5)
Portsmouth, New Hampshire, United States
Boston, Massachusetts, United States
Plano, Texas, United States
Indianapolis, Indiana, United States
Columbus, Ohio, United States
Compensation
The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
Responsible for AI Runtime and inference infrastructure on autonomous driving machines and edge computing platforms, enabling high-performance, low-latency operation of ML, VLA, and LLM models across diverse hardware and platforms.
Responsibilities
Design and develop unified model loading, execution, version switching, resource management, health monitoring, and diagnostics for AI Runtime.
Convert, optimize, and integrate PyTorch and other training models into target runtime environments, supporting ONNX, TensorRT, TensorRT-LLM, and other inference frameworks.
Optimize end-to-end inference latency, throughput, memory, bandwidth, power consumption, and compute resource usage using FP16/INT8, quantization, distillation, pruning, and kernel optimization.
Adapt hardware and platforms including GPU, NPU, SoC, and other AI accelerators for deployment on DCU, edge servers, and future machine platforms.
Support Vision-Language-Action and local LLM environments, managing multimodal input, context/state, real-time action output, and integration with planning/control.
Requirements
Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, Automation, Embedded Systems or related field
Joining an international team to develop modern AI-based solutions including AI applications, chatbots, and LLM-based systems in cloud and on-premise environments.
Locations (4)
Budapest, Budapest, Hungary
Debrecen, Hajdú-Bihar, Hungary
Pécs, Baranya, Hungary
Szeged, Csongrád, Hungary
Responsibilities
Develop complex AI solutions for customers (chatbots, service bots, LLM-based applications)
Develop RAG (Retrieval-Augmented Generation) based solutions using Python/LangChain or Java/Spring AI
Integrate open source LLMs into customer systems in cloud and on-premise environments using Kubernetes
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