CLARA Analytics is seeking a Senior Machine Learning Engineer to design, build, and scale advanced machine learning systems that power critical business outcomes for improving casualty claims outcomes.
Requirements
- Strong proficiency in Python and ML libraries
- Experience with data engineering tools and distributed systems
- Solid understanding of algorithms, model evaluation, and statistical methods
- Hands-on experience with containerization, orchestration, and cloud ML services
- Track record of deploying and maintaining ML models in production at scale
- Familiarity with large-scale data processing, vector databases, or knowledge graph technologies
- Hands-on work with LLMs, transformers, or other foundation models (fine-tuning, RAG pipelines, serving at scale)
Responsibilities
- Design, train, and optimize machine learning model architectures for production use cases
- Build and maintain robust ML pipelines for data ingestion, feature engineering, training, and deployment
- Collaborate with data scientists to move research prototypes into production environments
- Implement model monitoring, retraining strategies, and performance diagnostics to ensure reliability
- Develop scalable APIs and services that expose ML capabilities to downstream systems
- Apply best practices in MLOps, CI/CD, and AWS-native deployments
- Ensure explainability, fairness, and compliance in ML solutions
Other
- 5+ years of experience in machine learning and software engineering roles
- Strong communication skills and ability to work cross-functionally
- Knowledge of bias detection, fairness metrics, and responsible AI practices
- Strong background in software engineering best practices (design patterns, code quality, testing frameworks)
- Domain expertise in industries such as insurance, healthcare, or finance where compliance and explainability are critical
