Principal Software Developer

u2022 Python (5+ years): Production-level experience with Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest\n \u2022 SQL: Advanced proficiency with complex queries, window functions, and optimization\n \u2022 Machine Learning & NLP: Strong foundation in supervised/unsupervised learning, deep learning, document understanding, text classification, and semantic analysis\n \u2022 Generative AI & LLMs: Hands-on experience with foundation models (GPT, Claude, Llama), prompt engineering, RAG architectures, and vector databases (Pinecone, Weaviate, Chroma)\n \u2022 MLOps & ModelOps: End-to-end experience with ML pipelines, model versioning, feature stores, drift detection, CI/CD for ML, and Docker containerization\n \u2022 LLM Evaluation: Experience with evaluation frameworks (RAGAS, DeepEval), custom metrics, benchmark datasets, and human-in-the-loop validation\n \u2022 Cloud & AWS: Experience with AWS services including SageMaker, Bedrock, S3, Lambda, EC2, and CloudWatch\n \u2022 Statistics & Experimentation: Strong foundation in statistics, A/B testing, causal inference, and experimental design\n \u2022 Visualization: Proficiency with Tableau, Power BI, or Python visualization libraries \n \n \nExperience & Education \n \u2022 5+ years in data science, ML engineering, or related roles\n \u2022 3+ years building NLP/generative AI applications and implementing MLOps in production\n \u2022 Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field\n \u2022 Track record of deploying ML systems processing large-scale datasets with proper monitoring and governance \n \n \nPreferred Qualifications \n \u2022 Experience with agentic AI frameworks (LangGraph, LangChain, AutoGen, CrewAI) ?\n \u2022 Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems\n \u2022 Familiarity with big data tools (Spark, Databricks, Snowflake), orchestration (Airflow, Kubeflow), and monitoring tools (Datadog, Prometheus)\n \u2022 Experience with LLM fine-tuning, document processing libraries, multi-modal AI, or distributed training\n \u2022 Understanding of ML governance, bias detection, model risk management, and data privacy regulations (GDPR, CCPA, HIPAA)\n \u2022 Experience working in agile environments with Jira\n \u2022 AWS ML certifications or similar credentials \n \n \nKey Competencies \n \u2022 Strong communication skills explaining complex models to technical and nontechnical audiences\n \u2022 Ability to work independently and collaboratively in fast-paced environments\n \u2022 Proven ability to convert POCs into production-grade solutions\n \u2022 Understanding of ethical AI and building trustworthy, explainable systems for regulated environments \n

We are seeking a motivated AI/ML Engineer to build reliable, scalable systems and Generative AI and Agentic AI features, and build and deploy 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.\n \n \n Key Responsibilities\n \u2022 Build and deploy Generative AI features using foundation models (AWS Bedrock, OpenAI, Anthropic Claude) and inference pipelines with optimization of latency and cost\n \u2022 Design agentic AI systems that autonomously handle compliance workflows, document review, regulatory mapping, and multi-step reasoning tasks\n \u2022 Integrate comprehensive LLM evaluation frameworks with development and production systems\n \u2022 Build and operate end-to-end MLOps pipelines, deployment systems, monitoring, and rollbacks workflows\n \u2022 Implement explainability frameworks (SHAP/LIME) and monitoring dashboards ensuring transparency and regulatory adherence\n \u2022 Collaborate with cross-functional teams to translate business needs into ML solutions and communicate insights to stakeholders\n \n, n \nWhat You'll Build \n \u2022 LLM evaluation frameworks ensuring 95%+ accuracy for compliance-critical features\n \u2022 Prompts for LLMs to achieve specific, high-quality outcomes\n \u2022 Agentic AI systems autonomously handling document review and compliance workflows\n \u2022 GenAI document understanding features processing millions of regulatory documents\n \u2022 Predictive models identifying compliance risks before they occur\n \u2022 Real-time semantic search and explainable ML systems meeting regulatory requirements\n \u2022 Production MLOps pipelines supporting dozens of models with automated monitoring and retraining \n \n \nGrowth Opportunities \n \u2022 Drive adoption of emerging AI technologies and establish best practices\n \u2022 Mentor ML engineers\n \u2022 Shape AI/ML roadmap and establish center of excellence for compliance AI\n \u2022 Collaborate with product leadership on long-term vision for AI-powered compliance \n \n \nAbout Octave\n \n Octave provides mission-critical software that empowers organizations to make informed decisions across every stage of the asset lifecycle - Design, Build, Operate and Protect - where performance, safety, and reliability are non-negotiable and failure is not an option.\n \n Turning complex operational data into actionable intelligence, Octave connects expertise, real-world conditions and enterprise-scale insight to improve performance, resilience and incident response where it matters most. \n \n Octave has more than 7,000 employees in 45 countries. Learn more at octave.com and follow us on LinkedIn.\n \n \nWhy work for Octave?\n \n All in. Always forward. That's the way we do things around here. We put trust in our people because we believe it's the best way to unleash potential, bring ideas to life, and keep moving ahead. And it's why we're committed to creating an environment that's truly supportive, providing you with the resources you need to support your ambitions, no matter who you are or where you are in the world.\n \n \nEveryone is welcome\n \n At Octave, we believe that diverse and inclusive teams are critical to the success of our people and our business. Here, everyone is welcome. As an inclusive workplace, we don't discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all. \n \n Respect is the cornerstone of how we operate, so speak up and be yourself. You're valued here.\n \n PI285031566", "hiringOrganization": {"@type": "Organization", "name": "Intergraph Corporation"}, "jobLocation": {"address": {"addressCountry": "United States", "streetAddress": "Not specified", "@type": "PostalAddress", "postalCode": "77002", "addressLocality": "Houston", "addressRegion": "Texas - TX"}, "@type": "Place"}, "industry": "", "identifier": {"@type": "PropertyValue", "name": "Intergraph Corporation", "value": "285031566"}, "baseSalary": {"@type": "MonetaryAmount", "currency": "USD", "value": {"@type": "QuantitativeValue", "value": "Competitive", "unitText"