Principal AI/ML Software Engineer
Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA
Workplace Type: Remote
Req Id: 2909
Responsibilities
Position Overview
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.
Key Responsibilities
Build and deploy Generative AI features using foundation models (AWS Bedrock, OpenAI, Anthropic Claude) and inference pipelines with optimization of latency and cost
Design agentic AI systems that autonomously handle compliance workflows, document review, regulatory mapping, and multi-step reasoning tasks
Integrate comprehensive LLM evaluation frameworks with development and production systems
Build and operate end-to-end MLOps pipelines, deployment systems, monitoring, and rollbacks workflows
Implement 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
#LI-PB1 LI-Remote
Education / Qualifications
Technical Skills
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, 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
Experience & Education
5+ 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
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 nontechnical 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
What You'll Build
LLM evaluation frameworks ensuring 95%+ accuracy for compliance-critical features
Prompts for LLMs to achieve specific, high-quality outcomes
Agentic AI systems autonomously handling document review and compliance workflows
GenAI document understanding features processing millions of regulatory documents
Predictive models identifying compliance risks before they occur
Real-time semantic search and explainable ML systems meeting regulatory requirements
Production MLOps pipelines supporting dozens of models with automated monitoring and retraining
Growth Opportunities
Drive adoption of emerging AI technologies and establish best practices
Mentor ML engineers
Shape AI/ML roadmap and establish center of excellence for compliance AI
Collaborate with product leadership on long-term vision for AI-powered compliance
About Octave
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.
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.
Octave has more than 7,000 employees in 45 countries. Learn more at octave.com and follow us on LinkedIn.
Why work for Octave?
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.
Everyone is welcome
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.
Respect is the cornerstone of how we operate, so speak up and be yourself. You're valued here.
Recruitment Fraud Alert
Octave posts all official job opportunities on either or and communicates only from email addresses ending in @octave.com. We never request payment or personal banking information during recruitment. No offers will ever be extended without a proper interview via Teams or in person, never done over email alone. If you suspect fraud, it probably is, and contact us at
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 80183468
- Position Id: 7598e1da91d7cba55bded6941b7c3a7c
- Posted 7 hours ago
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