Semantic Modeler Job at Realign (Seattle, WA / St. Louis, MO / Plano, TX / Dallas, TX / Houston, TX)

Semantic Modeler

Seeking a functional semantic modeler.

Location

United States , Seattle, WA / St. Louis, MO / Plano, TX / Dallas, TX / Houston, TX

Salary:

135000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Define and implement a centralized metric store and semantic layer that will help develop business requirements and then translate business requirements into repeatable, governed metric definitions and production-ready models
The role combines the technical know-how on data modeling, semantic tooling (dbt Metricflow / dbt semantic layer or equivalent), knowledge graph concepts, BI/semantic mapping to deliver reliable metrics and data-driven insights at scale using a centralized metric store
Hands-on experience with dbt Metricflow and/or dbt Semantic Layer (designing and implementing metric catalogs and dbt models)

Job Responsibility

Define and implement a centralized metric store and semantic layer
Translate business requirements into repeatable, governed metric definitions and production-ready models
Design and implement metric catalogs and dbt models using dbt metricflow and/or dbt semantic layer
Deliver reliable metrics and data-driven insights at scale using a centralized metric store
Technical know-how on data modeling, semantic tooling (dbt Metricflow / dbt semantic layer or equivalent), knowledge graph concepts, BI/semantic mapping

Fulltime

Semantic Modeler

Seeking a functional semantic modeler to define and implement a centralized metr...

Location

United States , Seattle, WA; St. Louis, MO; Plano, TX; Dallas, TX; Houston, TX

Salary:

135000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Define and implement a centralized metric store and semantic layer
Translate business requirements into repeatable, governed metric definitions and production-ready models
Design and implement metric catalogs and dbt models using dbt metricflow and/or dbt semantic layer
Deliver reliable metrics and data-driven insights at scale using a centralized metric store
Technical know-how on data modeling, semantic tooling (dbt Metricflow / dbt semantic layer or equivalent), knowledge graph concepts, BI/semantic mapping
Hands-on experience with dbt Metricflow and/or dbt Semantic Layer (designing and implementing metric catalogs and dbt models)

Job Responsibility

Define and implement a centralized metric store and semantic layer
Translate business requirements into repeatable, governed metric definitions and production-ready models
Design and implement metric catalogs and dbt models using dbt metricflow and/or dbt semantic layer
Deliver reliable metrics and data-driven insights at scale using a centralized metric store

Fulltime

Semantic Modeler

Seeking a functional semantic modeler.

Location

United States , Seattle, WA / St. Louis, MO / Plano, TX / Dallas, TX / Houston, TX

Salary:

135000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Define and implement a centralized metric store and semantic layer that will help develop business requirements and then translate business requirements into repeatable, governed metric definitions and production-ready models
The role combines the technical know-how on data modeling, semantic tooling (dbt Metricflow / dbt semantic layer or equivalent), knowledge graph concepts, BI/semantic mapping to deliver reliable metrics and data-driven insights at scale using a centralized metric store
Hands-on experience with dbt Metricflow and/or dbt Semantic Layer (designing and implementing metric catalogs and dbt models)

Job Responsibility

Define and implement a centralized metric store and semantic layer
Translate business requirements into repeatable, governed metric definitions and production-ready models
Design and implement metric catalogs and dbt models using dbt metricflow and/or dbt semantic layer
Deliver reliable metrics and data-driven insights at scale using a centralized metric store
Technical know-how on data modeling, semantic tooling (dbt Metricflow / dbt semantic layer or equivalent), knowledge graph concepts, BI/semantic mapping

Fulltime

Semantic Modeler

Seeking a functional semantic modeler to define and implement a centralized metr...

Location

United States , Seattle, WA / St. Louis, MO / Plano, TX / Dallas, TX / Houston, TX

Salary:

135000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Define and implement a centralized metric store and semantic layer
Translate business requirements into repeatable, governed metric definitions and production-ready models
Design and implement metric catalogs and dbt models using dbt metricflow and/or dbt semantic layer
Deliver reliable metrics and data-driven insights at scale using a centralized metric store
Technical know-how on data modeling, semantic tooling (dbt Metricflow / dbt semantic layer or equivalent), knowledge graph concepts, BI/semantic mapping
Hands-on experience with dbt Metricflow and/or dbt Semantic Layer (designing and implementing metric catalogs and dbt models)

Job Responsibility

Define and implement a centralized metric store and semantic layer
Translate business requirements into repeatable, governed metric definitions and production-ready models
Design and implement metric catalogs and dbt models using dbt metricflow and/or dbt semantic layer
Deliver reliable metrics and data-driven insights at scale using a centralized metric store

Fulltime

New

Agentic AI Engineer Co-Op

An Agentic AI Engineer designs, builds, and deploys autonomous AI systems that c...

Location

Salary:

Not provided

Campbell Soup Company

Expiration Date

Until further notice

Requirements

2+ years in AI/ML system design, deployment, or autonomous agent development
Programming: Proficiency in Python (and sometimes Java, C#) for AI/ML solution development
Agent & Workflow Expertise: Experience with agent orchestration frameworks and multi-agent communication protocols
RAG & LLM Integration: Hands-on with RAG architectures, evaluation methodologies, and LLM integration
Cloud & DevOps: Experience with cloud platforms (e.g., Azure, AWS) and CI/CD pipelines
Governance & Compliance: Understanding of responsible AI, security, and compliance in regulated domains (e.g., retail)

Job Responsibility

Design & Develop Agentic Systems: Build intelligent agents capable of autonomous planning, reasoning, and task execution, often using LLMs (e.g., GPT-class, LLaMA), multi-modal models, and autonomous workflows
Orchestration & Frameworks: Implement agent orchestration using frameworks like LangChain, AutoGen, CrewAI, Semantic Kernel, or custom solutions
Retrieval-Augmented Generation (RAG): Design and optimize RAG pipelines for enhanced reasoning with external knowledge, including document ingestion, chunking, embeddings, vector stores, and retrieval ranking
Tool & Memory Integration: Develop agents that call APIs, databases, and other tools, maintain memory, and adapt based on outcomes
Evaluation & Monitoring: Create evaluation frameworks for accuracy, grounding, latency, and cost
build observability for agent behavior and failure modes
Model Adaptation: Fine-tune or adapt foundation models (e.g., via LoRA, adapters) for domain-specific use cases
Production Deployment: Deploy GenAI/agentic systems in cloud-native environments with CI/CD, versioning, and runtime safeguards
Cross-Functional Collaboration: Work with data scientists, ML engineers, product teams, and governance/compliance stakeholders

What we offer

medical
dental
short and long-term disability
AD&D
life insurance
matching 401(k) plan
unlimited sick time
paid time off
holiday pay
free access to the fitness center (if in WHQ)

New

Data Scientist II

Are you excited by the opportunity to use machine learning, NLP, and generative ...

Location

United Kingdom , London

Salary:

Not provided

myGwork - LGBTQ+ Business Community

Expiration Date

Until further notice

Requirements

Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area
Experience working with frontier LLMs such as OpenAI's GPTs, Anthropic's Claude, and Google's Gemini, including fine-tuning LLMs and/or SLMs
Strong Python skills and a habit of writing clean, maintainable, well-tested code
A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement
Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets
Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib
The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality
Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production-ready systems that deliver real user value

Job Responsibility

Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding
Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline
Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI
Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation
Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value
Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement
Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems
Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences

What we offer

healthy work/life balance
wellbeing initiatives
shared parental leave
study assistance
sabbaticals
flexible working hours

Fulltime

New

Principal Software Consultant - Python + React - Morning Shift/Afternoon Shift

Location

Pakistan , Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

5-7 years of professional software development experience
Strong proficiency in Python with deep understanding of language semantics
Production experience with Django and FastAPI frameworks
Expert-level understanding of asynchronous programming patterns (async/await, coroutines, event loops)
Solid grasp of synchronous programming and when to apply each paradigm
Experience building and maintaining RESTful and/or GraphQL APIs
Proficiency in SQL and PostgreSQL (or similar relational databases)
Strong proficiency in ReactJS with hooks, state management, and modern patterns
Experience with NextJS including SSR, SSG, and API routes
Understanding of frontend design patterns (components, containers, custom hooks, etc.)

Job Responsibility

Design and implement robust backend systems using Python, Django, and FastAPI
Build responsive, performant frontend applications with ReactJS and NextJS
Architect AI-driven features and integrate machine learning models into production systems
Design and optimize message-driven architectures using Kafka and other message brokers
Implement caching strategies using Redis and optimize database performance
Develop both synchronous and asynchronous services with proper concurrency handling
Conduct code reviews and mentor junior developers on best practices
Collaborate with product managers and designers to translate requirements into technical solutions
Participate in system design discussions and contribute to architectural decisions
Ensure code quality, performance, and security across the full stack

Fulltime

New

Senior Software Engineer, Full Stack Web Development – GCP & Vertex AI Focus

Description Hybrid: This role is categorized as hybrid. This means the success...

Location

United States , Austin

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or related field, or equivalent experience
5+ years of web application development experience
Strong frontend and backend development skills, including HTML, CSS, JavaScript, and Java, Python, and/or server-side JavaScript
Hands-on experience designing and operating production workloads on GCP, including services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery
Experience with AI-powered search or recommendation systems, ideally Vertex AI Search or similar semantic/vector search platforms
Experience with system design, testing, debugging, automation, and performance optimization

Job Responsibility

Develop competency across our complete web technologies stack (client, framework, and services)
Produce high quality software that is unit tested, reviewed, and checked in regularly for continuous integration and deployment
Serve as a tech lead, actively mentoring other engineers on the team and helping drive technical decisions and tradeoffs
Investigate and resolve performance bottlenecks across the full stack, including browser, edge, and cloud services
Lead efforts to automate testing, quality gates, and delivery pipelines, with a strong focus on reliability and observability
Work on API, Content Management, edge, and cloud systems that power GM brand and marketing experiences
Leverage your technical leadership to ensure we adhere to engineering best practices and evangelize opportunities to improve engineering productivity, and craftsmanship
Design and build web applications and services on GCP, leveraging services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery where appropriate
Implement and integrate Vertex AI Search to power intelligent search, semantic retrieval, and content discovery across GM's digital products (e.g., marketing sites, owner experiences, support content)
Define and evolve search schemas, indexing pipelines, and relevance signals (e.g., metadata, event telemetry, personalization signals) to continuously improve search quality and user satisfaction

Fulltime

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Data Scientist II

Principal Software Consultant - Python + React - Morning Shift/Afternoon Shift

Senior Software Engineer, Full Stack Web Development – GCP & Vertex AI Focus

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