Software Developer (Python, ML)

About The Company

Octave is a leading provider of mission-critical software solutions that empower organizations to make informed decisions throughout every stage of the asset lifecycle—Design, Build, Operate, and Protect. Our platform is designed to enhance performance, safety, and reliability, especially in environments where failure is not an option. By transforming complex operational data into actionable intelligence, Octave connects expertise, real-world conditions, and enterprise-scale insights to improve performance, resilience, and incident response. With a global presence of over 7,000 employees across 45 countries, we are committed to innovation, excellence, and fostering a diverse and inclusive workplace.

About The Role

We are seeking a highly motivated Principal Software Developer specializing in AI and Machine Learning to join our team remotely, based out of Houston, Texas or Madison, Alabama. In this role, you will lead the development of reliable, scalable AI systems and generative AI features that enhance our document-based compliance management platform. Your expertise will drive the building and deployment of advanced ML models, including foundation models and agentic AI systems, to automate compliance workflows, document review, and regulatory mapping. You will be instrumental in designing end-to-end MLOps pipelines, implementing explainability frameworks, and collaborating with cross-functional teams to translate business needs into innovative AI solutions. This position offers an exciting opportunity to shape the future of AI-driven compliance technology and work on cutting-edge projects that impact regulated industries globally.

Qualifications

• 5+ years of professional experience in data science, machine learning engineering, or related roles
• 3+ years of experience developing NLP and generative AI applications in production environments
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field
• Proficiency in Python, including libraries such as Pandas, NumPy, scikit-learn, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest
• Advanced SQL skills with the ability to craft complex queries and optimize database performance
• Deep understanding of machine learning, NLP, and semantic analysis techniques
• Hands-on experience with foundation models like GPT, Claude, Llama, prompt engineering, RAG architectures, and vector databases such as Pinecone, Weaviate, or Chroma
• Strong background in MLOps, including model versioning, feature stores, CI/CD pipelines, Docker containerization, and monitoring
• Experience with cloud services, particularly AWS (SageMaker, Bedrock, S3, Lambda, EC2, CloudWatch)
• Knowledge of evaluation frameworks, custom metrics, and human-in-the-loop validation processes
• Familiarity with big data tools (Spark, Databricks, Snowflake), orchestration frameworks (Airflow, Kubeflow), and monitoring tools (Datadog, Prometheus)
• Understanding of statistics, experimental design, and causal inference
• Excellent communication skills, with the ability to explain complex models to both technical and non-technical audiences

Responsibilities

• Develop and deploy Generative AI features utilizing foundation models and inference pipelines, optimizing for latency and cost efficiency
• Design and implement agentic AI systems capable of autonomously managing compliance workflows, document review, regulatory mapping, and multi-step reasoning tasks
• Integrate comprehensive LLM evaluation frameworks into development and production systems to ensure high accuracy and reliability
• Build and maintain end-to-end MLOps pipelines, including deployment, monitoring, and rollback workflows to ensure system robustness
• Implement explainability frameworks such as SHAP and LIME, and develop monitoring dashboards to ensure transparency and regulatory compliance
• Collaborate with cross-functional teams to translate business requirements into scalable ML solutions and effectively communicate insights to stakeholders
• Lead efforts in model validation, bias detection, and governance to ensure ethical AI practices in regulated environments
• Drive innovation by exploring emerging AI technologies, establishing best practices, and mentoring junior engineers

Benefits

• Competitive salary and comprehensive health benefits
• Flexible remote work environment
• Opportunities for professional growth and career advancement
• Access to cutting-edge AI tools and technologies
• Collaborative and inclusive work culture that values diversity
• Support for continuous learning and development, including certifications and training programs
• Participation in innovative projects with global impact

Equal Opportunity

Octave is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status. We believe that diverse teams foster innovation and drive success, and we are dedicated to ensuring fairness and equal opportunities for everyone.