Mid AI and Machine Learning Engineer

Salary: $77,600 - 176,000 per year

Requirements

• Proven experience in developing, deploying, and managing production ML models, including supervised, unsupervised, and anomaly detection methods, especially for imbalanced datasets
• Proficiency in ML engineering and MLOps, encompassing model versioning, CI/CD processes, monitoring, drift detection, and automated retraining
• Strong skills in Python and ML frameworks such as scikit-learn, PyTorch, or TensorFlow
• Knowledgeable in Palantir and data engineering tools like Databricks, Spark, or SQL, with experience in batch and streaming pipelines
• Expertise in enhancing data quality, lineage, and observability in enterprise data systems, along with operationalizing rules and model-driven insights for prioritization and routing
• Familiarity with API-first and event-driven integration strategies, including secure service-to-service communication
• Understanding of responsible AI principles, focusing on explainability, fairness, and bias assessment
• Competence in designing and drafting architectural artifacts, including data contracts and operational runbooks
• Capability to secure and maintain a Public Trust or Suitability/Fitness determination based on client needs
• A Bachelors degree with a minimum of 2 years of experience in DevOps, software, or data engineering, or 5 years of experience in similar fields if lacking a degree

Responsibilities

• Design and implement secure, large-scale AI solutions that enhance mission-critical functions
• Collaborate with cross-functional teams, including data engineers, data scientists, solution architects, and product owners to deliver impactful AI and ML solutions across diverse use cases
• Modernize and maintain a comprehensive AI-driven platform utilizing Databricks, Palantir, and custom ML models
• Sustain and improve batch and streaming data pipelines, focusing on data quality and observability
• Define and enforce data contracts and feature pipelines alongside data engineers and subject matter experts
• Break down legacy case selection features into scalable services and streamline operations for model-driven scoring and review processes
• Build and manage production-level ML pipelines featuring MLOps best practices, including versioning, monitoring, and compliance checks
• Ensure the platform meets stringent security and compliance standards, including ATO, and create relevant documentation
• Collaborate with product, fraud, and case management teams in an Agile environment

Technologies:

• AI
• API
• CI/CD
• Databricks
• DevOps
• Support
• PyTorch
• Python
• SQL
• Security
• Spark
• TensorFlow
• AWS
• Cloud
• DevSecOps
• Machine Learning
• microservices

More:

We are a forward-thinking company dedicated to developing secure AI and ML solutions that serve essential operational capabilities. We offer a range of benefits, including health and life insurance, retirement plans, paid leave, professional development opportunities, and tuition assistance to support your professional growth and well-being. We foster a flexible work culture that values collaboration, whether in person or remotely, and we are committed to diversity and inclusion in the workplace. Join us in creating impactful solutions for tomorrow.

last updated 11 week of 2026