Solutions Engineer

Summary

Join CAI, a professional services company, as a fully remote Solutions Engineer specializing in AI/ML within the United States. Reporting to the Director of Information Technology, you will design and deploy scalable machine learning and business intelligence solutions. The ideal candidate possesses strong model development and deployment experience, along with expertise in modern data platforms like Snowflake. Key responsibilities include model development and deployment, data engineering integration, collaboration and architecture, and mentorship and innovation. The role requires a Bachelor's or Master's degree in a related field and 5+ years of hands-on machine learning engineering experience. CAI offers competitive compensation, performance-based incentives, benefits, flexible working hours, and a collaborative environment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field
• 5+ years of hands-on experience in machine learning engineering roles
• Strong experience with Snowflake , including working with large datasets, writing performant SQL, and integrating ML workflows with Snowflake
• Proficiency in Python and machine learning libraries such as PyTorch, TensorFlow, Scikit-learn
• Experience deploying ML models using MLOps tooling (e.g., MLflow, Airflow, Docker, Kubernetes)
• Familiarity with cloud platforms (AWS, GCP, or Azure)

Responsibilities

• Model Development & Deployment
• Design, train, and optimize machine learning models for tasks such as prediction, classification, ranking, or generative AI
• Build production-ready ML pipelines using Python, SQL, and modern orchestration tools
• Deploy models in scalable, secure, and monitored environments using MLOps best practices
• Data Engineering Integration
• Work with data teams to access and manipulate large datasets, primarily within Snowflake
• Build end-to-end solutions that connect data ingestion, transformation, modeling, and output delivery
• Collaborate on building data and ML pipelines that are integrated with orchestration tools and ETL platforms
• Write and maintain SQL models using dbt and Snowflake
• Collaboration & Architecture
• Collaborate with Solution Architects and cross-functional stakeholders to design ML components that fit into larger enterprise systems
• Provide input on system design, infrastructure scalability, and model performance in production
• Understand CAI Internal System infrastructure to effectively build models for internal business intelligence reporting
• Mentorship & Innovation
• Mentor junior engineers and data scientists, sharing best practices and offering technical guidance
• Research and propose new methods, tools, and models to improve existing ML workflows

Preferred Qualifications

• Experience with Matillion or Fivetran for ETL/ELT and data integration workflows and data ingestion
• Experience with dbt , GitHub and integrated development environment (IDE) software
• Experience working with large language models (LLMs), RAG architectures, or vector databases
• Exposure to real-time or streaming model inference
• Experience with CI/CD practices and infrastructure-as-code in ML environments
• Comfortable working in regulated data environments or with PII/PHI

Benefits

• 100% remote work ( U.S.-based )
• Flexible working hours and a high degree of autonomy
• A collaborative environment that values innovation, continuous learning, and knowledge sharing
• Competitive compensation, including performance-based incentives and benefits