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Principal Data Scientist (AI)- REMOTE (US) (Houston, TX, US, 77086)

Remote role Full-time Open position

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. #LI-KK1 #LI-Remote 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, acc

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Experienced Data Entry Clerk for 17-Year-Olds – Entry-Level Position at Hirevector About Hirevector At Hirevector, we are driven by a mission to be the world's most customer-centric company. We strive to offer our customers the lowest possible prices, the best available selection, and the utmost convenience. Established in 1994, we’ve grown from an online bookstore into a global powerhouse that specializes in e-commerce, cloud computing, digital streaming, and artificial intelligence. Your Opportunity Awaits We are excited to announce our Data Entry Clerk position specifically tailored for 17-year-olds! This is a unique opportunity to start your career with one of the world's leading companies while improving your computer skills and gaining real-world experience. Position Overview As a Data Entry Clerk at Hirevector, you will play a crucial role in our operations by managing various forms of data input and validation. This position is an excellent opportunity for motivated and detail-oriented teenagers looking to build valuable work experience in a fast-paced environment. Key Responsibilities: Accurately enter customer data into our internal systems. Review and verify data for accuracy and completeness. Organize and maintain data files and records. Assist in organizing information and preparing reports. Communicate effectively with team members to resolve discrepancies. Who We Are Looking For This role is perfect for a responsible 17-year-old who is eager to learn and grow. We are looking for candidates who meet the following criteria: Essential Qualifications: Must be 17 years old by the time of application. High School student or recent graduate preferred. Basic computer skills and familiarity with Microsoft Office Suite. Strong attention to detail and organization skills. Ability to work independently as well as a part of a team. Effective communication skills—both written and verbal. Willingness to learn and accept feedback. What We Offer Working at Hirevector comes with unique benefits tailored to help you thrive: Benefits and Perks: Flexible working hours that can accommodate your school schedule. A competitive hourly wage. Professional development opportunities and training. A supportive work environment with a focus on teamwork. Networking and potential career advancement within the company. Diversity and Inclusion At Hirevector, we value diversity and strive to create an inclusive work environment. We believe that the more diverse our workforce, the better we can serve our customers. We are proud to be an Equal Opportunity Employer where everyone can find success. Your Next Steps If you’re excited about the opportunity to gain skills and be part of an innovative team, we encourage you to apply! This position is a fantastic way for 17-year-olds to gain essential work experience and a chance to contribute to a global leader in technology. Career Growth Opportunities At Hirevector, we believe in investing in our employees' growth and development. As a Data Entry Clerk, you will have the opportunity to learn and grow with our company, taking on new challenges and responsibilities as you progress in your career. Work Environment and Culture Our work environment is fast-paced and dynamic, with a focus on teamwork and collaboration. We encourage open communication, creativity, and innovation, and we strive to create a positive and inclusive work environment for all employees. Compensation, Perks, and Benefits We offer a competitive hourly wage, flexible working hours, and a range of benefits and perks to support your well-being and career development. We also provide comprehensive training and professional development opportunities to help you succeed in your role. Conclusion Data entry jobs for 17-year-olds at Hirevector represent a valuable starting point for any young aspiring professional. With the right guidance and opportunity, you can not only develop practical skills essential for your career but also join a company that embraces innovation and creativity. This is your chance to take those first steps toward a bright future. Don’t hesitate—apply today and be part of something bigger! FAQs Q: What is the minimum age requirement for this position? A: You must be at least 17 years old to apply for this position. Q: Do I need prior experience in data entry to apply? A: No prior experience is necessary, but basic computer skills and a willingness to learn are important. Q: What are the working hours for this role? A: The working hours are flexible and can be arranged to fit around your school schedule. Q: Will training be provided? A: Yes, comprehensive training will be provided to ensure you are fully prepared for your responsibilities. Q: What growth opportunities exist within this role? A: There are numerous opportunities for career advancement within Hirevector, especially for dedicated employees who excel in their roles. Apply Now! Ready to take the first step in your career? Apply now for the Data Entry Clerk position at Hirevector and join our team of innovative and dedicated professionals!

Remote role Full-time