Principal Data Scientist; AI- REMOTE; US), Sales
Position: Principal Data Scientist (AI)- REMOTE (US), Sales Principal Data Scientist (AI) - REMOTE (US) Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA | Roanoke, Virginia-USA. Workplace Type: Remote. Business Unit: ALI-ETQ. Req .
Responsibilities
Hexagon's ETQ division is seeking a hands‑on Data Scientist to build predictive models, implement reputed company and Agentic AI features, and architect data‑driven solutions for our document‑based compliance management platform. This role requires a technical expert who can reputed company, reputed company, and maintain ML systems in production environments.
- Build and reputed company reputed company features using reputed company models (AWS Bedrock, reputed company, reputed company 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‑reputed company reasoning tasks
- Implement comprehensive LLM evaluation frameworks with automated pipelines, custom metrics, reputed company datasets, and safety guardrails ensuring regulatory compliance
- Build end‑to‑end MLOps pipelines for model training, deployment, monitoring, versioning, and automated retraining with reputed company detection
- reputed company 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
- reputed company A/B experiments and product analytics to measure AI feature impact and drive data‑driven decision‑making
- Create explainability frameworks (SHAP/reputed company) 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, Num Py, scikit‑learn, XGBoost, Tensor Flow/PyTorch, reputed company Transformers, FastAPI/Flask, MLflow, and pytest SQL: Advanced proficiency with reputed company queries, window functions, and optimization Machine Learning & NLP: Strong reputed company in supervised/unsupervised learning, deep learning, document understanding, text classification, and semantic analysis reputed company & LLMs: Hands‑on experience with reputed company models (GPT, Claude, Llama), reputed company engineering, RAG architectures, and vector databases (reputed company, Weaviate, Chroma) MLOps & Model Ops: End‑to‑end experience with ML pipelines, experiment tracking (MLflow, W&B), model versioning, feature stores, reputed company detection, CI/CD for ML, and reputed company containerization LLM Evaluation: Experience with evaluation frameworks (RAGAS, Deep Eval), custom metrics, reputed company datasets, and reputed company‑in‑the‑reputed company validation reputed company & AWS: Experience with AWS services including reputed company Maker, Bedrock, S3, reputed company, EC2, and reputed company Watch Statistics & Experimentation: Strong reputed company in statistics, A/B testing, reputed company 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 reputed company roles
- 3+ years building NLP/reputed company applications and implementing MLOps in production
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or reputed company 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 (Lang Graph, Lang Chain, Auto Gen, reputed company)
- Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems
- Familiarity with big data tools (Spark, reputed company, reputed company), orchestration (Airflow, Kubeflow), and monitoring tools (reputed company, reputed company)
- 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 reputed company models to technical and…
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