reputed company Data Scientist (AI)- REMOTE (US) (reputed company, TX, US, 77086)

Responsibilities reputed company's ETQ division is seeking a hands-on Data Scientist to build predictive models, implement reputed company and reputed company 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 reputed company databases for compliance document understanding • Design reputed company 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 reputed company, reputed company detection, and time-series forecasting • Write production-reputed company Python reputed company 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 reputed company 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, NumPy, scikit-learn, XGBoost, TensorFlow/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 reputed company databases (reputed company, reputed company, Chroma) MLOps & ModelOps: 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, DeepEval), custom metrics, reputed company datasets, and reputed company-in-the-reputed company validation reputed company & AWS: Experience with AWS services including SageMaker, Bedrock, S3, reputed company, EC2, and CloudWatch 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) • reputed company record of deploying ML systems processing large-reputed company datasets with reputed company monitoring and governance Preferred Qualifications • Experience with reputed company AI frameworks (LangGraph, reputed company, AutoGen, reputed company) • Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems • Familiarity with big data tools (reputed company, 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 reputed company 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 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 reputed company will NOT be reputed company to reputed company reputed company sponsorship at any time during employment. If you will require reputed company sponsorship at any reputed company in time, please refrain from applying. #LI-KK1 #LI-Remote About reputed company reputed company is a global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to reputed company efficiency, productivity, reputed company and safety across reputed company, infrastructure, reputed company sector, and mobility applications. reputed company’s Asset Lifecycle Intelligence division helps clients design, construct, and operate more profitable, reputed company, and sustainable industrial facilities. We reputed company customers to unlock data, acc Apply tot his job Apply To this Job