AI/ML Engineer
About The Position
Seeking a talented and driven AI/ML Solutions Engineer to join a team and play a pivotal role in designing and deploying intelligent systems that enhance operational efficiency and automate workflows. This is a hands-on, high-impact position that involves collaboration across finance, operations, and leadership teams. The ideal candidate will have expertise in building machine learning pipelines and developing scalable AI-driven solutions, with a particular focus on Generative AI and LLM-based applications. Compensation Package Competitive salary commensurate with experience Comprehensive health, dental, and vision insurance Generous paid time off and holidays Professional development opportunities Flexible work arrangements
Requirements
- Bachelor’s degree in a related technical field.
- 3–5 years of experience in AI/ML, data science, or engineering roles.
- Hands-on experience with Google Cloud tools such as Vertex AI and BigQuery.
- Proficiency in working with LLMs, prompt engineering, and RAG frameworks.
- Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Knowledge of secure development practices and cloud security fundamentals.
Responsibilities
- Design and deploy AI/ML solutions using Google Cloud tools such as Vertex AI and APIs.
- Identify and implement high-value use cases, including document processing, summarization, Q&A systems, and workflow automation.
- Develop and optimize prompt engineering, RAG pipelines, and model tuning strategies.
- Ensure AI solutions meet standards for accuracy, explainability, and compliance.
- Apply safeguards such as data redaction, access controls, and secure prompt handling.
- Build and maintain end-to-end ML pipelines, including data ingestion, deployment, and monitoring.
- Leverage tools such as BigQuery, Dataflow, and orchestration frameworks.
- Establish and implement MLOps best practices, including CI/CD, model versioning, and monitoring.
- Design and maintain security-focused architecture, including encryption, IAM/least-privilege access, secure APIs, and logging/auditability.
- Partner with business teams to identify automation opportunities and translate business requirements into scalable AI/ML solutions.
- Communicate technical concepts effectively to non-technical stakeholders.
- Drive adoption of AI capabilities across the organization.
Benefits
- Competitive salary commensurate with experience
- Comprehensive health, dental, and vision insurance
- Generous paid time off and holidays
- Professional development opportunities
- Flexible work arrangements
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
