Data Scientist, NLP, AI Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Scientist developing production-ready LLM and generative AI applications for Ford’s enterprise technology organization. Building agentic workflows, evaluation frameworks, and scalable GCP-based machine learning solutions.
Responsibilities:
- Design, prototype, evaluate, and productionize LLM-powered applications for enterprise and customer-facing use cases
- Develop prompt strategies, structured-output workflows, model routing, context-management approaches, and fine-tuning or adaptation methods when appropriate
- Create rigorous LLM evaluation frameworks covering task quality, factuality, relevance, robustness, latency, cost, safety, and user experience
- Explore and implement agentic AI patterns such as planning, tool and function calling, memory, reflection, human-in-the-loop approvals, and multi-step workflow execution
- Develop and deploy scalable AI and machine learning solutions on GCP using Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, and related data and AI services
- Build reusable Python components, APIs, experimentation pipelines, and data products integrating with enterprise platforms and applications
- Create and maintain data pipelines preparing structured and unstructured data for modeling, experimentation, evaluation, and production use
- Perform exploratory analysis, feature engineering, statistical modeling, and machine learning to support broader data science needs
- Implement observability, monitoring, guardrails, automated testing, and feedback loops to improve model and application performance after deployment
- Communicate technical findings, tradeoffs, risks, and recommendations to technical and non-technical stakeholders
- Stay current with emerging generative AI methods and translate promising research into practical business value
Requirements:
- Bachelor's degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience
- Master's degree or Ph.D. in a relevant quantitative or technical discipline
- 2+ years of professional experience in data science, machine learning, applied AI, natural language processing, or a related technical role
- 5+ years of experience designing or deploying agentic AI systems, including tool-using agents, graph-based workflows, multi-agent collaboration, or human-in-the-loop controls
- Strong programming skills in Python and proficiency with SQL; experience writing maintainable, testable, production-quality code
- Hands-on experience developing applications with commercial or open-source LLMs
- Experience with prompt engineering, LLM evaluation, model integration, and core NLP concepts
- Experience with GCP data and AI services, particularly Vertex AI and BigQuery, or comparable major-cloud experience with ability to transition to GCP
- Experience with Git, APIs, containers, CI/CD, identity and access management, and production monitoring
- Ability to translate ambiguous business needs into measurable technical objectives and deliver iteratively in a cross-functional environment
- Strong analytical, problem-solving, documentation, and communication skills
- Preferred: hands-on experience with Vertex AI Model Garden, Generative AI Studio, custom training, endpoints, pipelines, evaluation, and monitoring
- Preferred: experience with BigQuery, BigQuery ML, Dataflow, or related GCP services
- Preferred: experience with fine-tuning, parameter-efficient adaptation, synthetic-data generation, distillation, model serving, or optimization
- Preferred: experience developing evaluation datasets, automated evaluators, adversarial tests, red-team scenarios, and regression test suites for generative AI
- Preferred: knowledge of LLMOps and MLOps, versioning, experiment tracking, monitoring, scalable inference, and cost optimization
- Preferred: experience delivering AI solutions in regulated, safety-conscious, or large-enterprise environments
Similar Jobs
Data Scientist Mid/Senior – Consulting
Cientista de Dados desenvolvendo modelos estatísticos e de Machine Learning para a WeCogno, consultoria de dados e IA. Gerando insights acionáveis e soluções para decisões de negócio.
Head of Data – AI
Head of Data + AI building reusable data and AI infrastructure for AugmentED. Translating education research into scalable tools that improve learning outcomes.
Program Manager, Data Governance and Stewardship
Data governance lead building frameworks for ReSource Pro’s insurance-industry clients. Improving data quality, privacy, lineage, and responsible analytics and AI use.
Senior Data Scientist
Senior Data Scientist powering product and operational analytics for Flagler Health’s musculoskeletal care platform. Measuring patient journeys, clinical workflows, engagement, and business performance.
Data Scientist II – FCRM Modeling
Data Scientist developing AML/CTF models and AI solutions for TD, a global financial institution. Applying Python, SQL, statistics, and machine learning to financial crime risk analytics.
Senior Manager, Clinical Product Analytics
Senior Manager leading clinical product analytics for CVS Signify Health’s in-home and virtual evaluations. Guiding metrics, causal inference, coding integrity, and analytics strategy.
Lead Director, Data Science – Clinical AI
Lead Director guiding CVS Health’s production clinical AI strategy across healthcare businesses. Managing data science teams and advancing trustworthy, scalable machine learning using clinical data.
Marketing Strategy & Analytics Lead
Marketing Strategy & Analytics Lead advising Longbridge, a senior home-equity solutions provider. Building predictive models, attribution frameworks, and forecasts to optimize marketing investment and revenue growth.
Senior Data Scientist
Senior Data Scientist using machine learning and predictive modeling to improve team.blue’s digital services for 3.3 million European customers. Building data strategy, pipelines, and actionable insights with business, product, and engineering teams.
Senior Data Scientist
Senior Data Scientist designing geospatial, remote sensing, and environmental modeling workflows for CGS. Turning complex datasets into validated, decision-ready insights for sustainability and public-interest applications.
Cientista de Dados Sr
Cientista de Dados Sr desenvolvendo soluções de IA e modelos preditivos na Spassu. Otimizando produtos e serviços públicos com experimentos, APIs, microsserviços e pipelines de ML.
Senior Director, Research & Analytics Product Sales
Senior Director driving Clarivate’s research and analytics product sales strategy across academic and government markets. Aligning teams, operations, and revenue growth with company-wide objectives.
Data Scientist
Data Scientist supporting Guidehealth’s value-based healthcare operations through clinical data analysis, machine learning, and predictive modeling. Translating healthcare data into actionable insights for Clinical, Quality, and CDI teams.
Manager, Data Science and Analytics
Data analytics manager leading enterprise operations and customer-solution initiatives through data science and advanced analytics. Overseeing teams, models, dashboards, reporting, and strategic recommendations.
Senior Data Scientist – AI-ML, Anomaly Detection Lead
Senior Data Scientist leading explainable AI/ML anomaly detection for Chameleon’s Florida government oversight platform. Modernizing rules, validating models, and quantifying fraud, waste, and abuse risks.
Working Student Data Science
Working Student Data Science building production data pipelines and predictive models for SIXT, a global mobility services provider. Analysing real business data and supporting machine learning experiments near Munich.
Senior Data Scientist
Senior Data Scientist building pipelines, predictive models, and AI products for High 5 Games’ gaming ecosystem. Driving player engagement, monetization, and product growth through analytics and machine learning.
Data Science Lead – MLOps, Advanced Analytics
Data Science Lead architecting production ML and AI systems for Resilient Co. using Azure, Databricks, Spark, and MLOps. Leading predictive modeling, automation, deployment, and drift monitoring across enterprise data products.
Staff Data Scientist
Staff Data Scientist developing interpretable residential valuation models for True Footage’s Kelley Blue Book Home Valuations and TrueTracts platforms. Partnering with the CTO to ship production machine learning systems and shape Data Science standards.
Senior Data Scientist
Cientista de Dados Sênior sustentando modelos de IA na Vetta, empresa de digitalização industrial. Monitorando produção, resolvendo incidentes e aprimorando soluções de Machine Learning e Deep Learning.