About
Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA | Roanoke, Virginia-USA. Workplace Type: Remote. Business Unit: ALI-ETQ. Req Id: 2289.
Responsibilities Hexagon's ETQ
division is seeking a hands‑on Data Scientist to build predictive models, implement Generative AI and Agentic AI features, and architect data‑driven solutions for our document‑based compliance management platform. This role requires a technical expert who can develop, deploy, and maintain ML systems in production environments.
Build and deploy Generative AI features using foundation models (AWS Bedrock, OpenAI, Anthropic Claude) and RAG architectures with vector databases for compliance document understanding
Design agentic AI systems that autonomously handle compliance workflows, document review, regulatory mapping, and multi‑step reasoning tasks
Implement comprehensive LLM evaluation frameworks with automated pipelines, custom metrics, benchmark datasets, and safety guardrails ensuring regulatory compliance
Build end‑to‑end MLOps pipelines for model training, deployment, monitoring, versioning, and automated retraining with drift detection
Develop predictive models for compliance risk scoring, regulatory change impact, anomaly detection, and time‑series forecasting
Write production‑quality Python code for data processing, feature engineering, API development (FastAPI/Flask), and ETL/ELT workflows
Lead A/B experiments and product analytics to measure AI feature impact and drive data‑driven decision‑making
Create explainability frameworks (SHAP/LIME) and monitoring dashboards ensuring transparency and regulatory adherence
Collaborate with cross‑functional teams to translate business needs into ML solutions and communicate insights to stakeholders
Python (5+ years):
Production‑level experience with Pandas, NumPy, scikit‑learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest
SQL:
Advanced proficiency with complex queries, window functions, and optimization
Machine Learning & NLP:
Strong foundation in supervised/unsupervised learning, deep learning, document understanding, text classification, and semantic analysis
Generative AI & LLMs:
Hands‑on experience with foundation models (GPT, Claude, Llama), prompt engineering, RAG architectures, and vector databases (Pinecone, Weaviate, Chroma)
MLOps & ModelOps:
End‑to‑end experience with ML pipelines, experiment tracking (MLflow, W&B), model versioning, feature stores, drift detection, CI/CD for ML, and Docker containerization
LLM Evaluation:
Experience with evaluation frameworks (RAGAS, DeepEval), custom metrics, benchmark datasets, and human‑in‑the‑loop validation
Cloud & AWS:
Experience with AWS services including SageMaker, Bedrock, S3, Lambda, EC2, and CloudWatch
Statistics & Experimentation:
Strong foundation in statistics, A/B testing, causal inference, and experimental design
Visualization:
Proficiency with Tableau, Power BI, or Python visualization libraries
Education / Qualifications Experience & Education
7+ years in data science, ML engineering, or related roles
3+ years building NLP/generative AI applications and implementing MLOps in production
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred)
Track record of deploying ML systems processing large‑scale datasets with proper monitoring and governance
Preferred Qualifications
Experience with agentic AI frameworks (LangGraph, LangChain, AutoGen, CrewAI)
Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems
Familiarity with big data tools (Spark, Databricks, Snowflake), orchestration (Airflow, Kubeflow), and monitoring tools (Datadog, Prometheus)
Experience with LLM fine‑tuning, document processing libraries, multi‑modal AI, or distributed training
Understanding of ML governance, bias detection, model risk management, and data privacy regulations (GDPR, CCPA, HIPAA)
Experience working in agile environments with Jira
AWS ML certifications or similar credentials
Key Competencies
Strong communication skills explaining complex models to technical and non‑technical audiences
Ability to work independently and collaboratively in fast‑paced environments
Proven ability to convert POCs into production‑grade solutions
Understanding of ethical AI and building trustworthy, explainable systems for regulated environments
Hexagon will NOT be able to provide visa sponsorship at any time during employment. If you will require visa sponsorship at any point in time, please refrain from applying.
About Hexagon Hexagon is a global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications.
Hexagon’s Asset Lifecycle Intelligence division helps clients design, construct, and operate more profitable, safe, and sustainable industrial facilities. We empower customers to unlock data, accelerate industrial project modernization and digital maturity, increase productivity, and move the sustainability needle.
Our technologies help produce actionable insights that enable better decision‑making and intelligence across the asset lifecycle of industrial projects, leading to improvements in safety, quality, efficiency, and productivity, which contribute to Economic and Environmental Sustainability.
Hexagon (Nasdaq Stockholm: HEXA B) has approximately 25,000 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at hexagon.com and follow us @HexagonAB.
Why work for Hexagon? At Hexagon, if you can see it, you can do it. Hexagon’s Asset Lifetime Intelligence division puts their trust in you so that you can bring your ideas to life. We have emerged as one of the most engaged and enabled workplaces. We are committed to creating an environment that is truly supportive by providing the resources you need to fully support your ambitions, no matter who you are or where you are in the world.
* In the recently concluded workplace effectiveness survey by Korn Ferry, a global HR advisory firm, Hexagon, Asset Lifecycle Intelligence division has emerged as one of the most Engaged and Enabled workplaces, when compared to similar organizations that Korn Ferry partners with.
Everyone is welcome At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcome—as an inclusive workplace, we do not discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.
Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.