Senior AI/ML Engineer – Marketing Automation

Overview

The AI Systems & Machine Learning Solutions Engineer is responsible for the end-to-end lifecycle of artificial intelligence solutions, from designing custom machine learning models to architecting the automation systems that integrate these models into production environments. This individual will analyze complex business requirements to propose and build automated workflows, ensuring that AI-driven insights are seamlessly delivered through scalable technical platforms. The role requires a unique blend of statistical modeling and systems engineering to optimize operational efficiency and drive innovation.

Major Tasks, Responsibilities & Key Accountabilities

• 25% - Model Development & Training: Designs and builds custom, re-usable machine learning models (NLP, LLMs, Predictive Analytics) based on statistical modeling and data analysis to solve specific business challenges.

• 25% - Systems Automation & Integration: Architect and develop automated pipelines and ETL jobs to manage the flow of data between AI models and enterprise applications, ensuring intuitive and efficient integration.

• 25% - MLOps & Infrastructure Maintenance: Maintain comprehensive documentation for AI workflows and manage the deployment infrastructure (CI/CD, containerization) to ensure the stability and scalability of automated AI systems.

• 25% - Technical Leadership & Strategy: Act as the technical lead for AI initiatives, working with senior leadership and stakeholders to translate business obstacles into technical requirements and actionable AI roadmaps.

Years of Relevant Work Experience

• 4+ years in a role focused on Machine Learning development or Systems Automation.

Preferred Qualifications

• Proven experience as an AI/ML Engineer and/or Systems Automation Engineer.
• Expertise in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) and automation tools (e.g., LangChain, Airflow).
• Background in MLOps, including containerization (Docker/Kubernetes) and cloud-native AI services (AWS SageMaker, Azure AI, or GCP Vertex AI).
• Knowledge of SQL queries, API design (REST/GraphQL), and database management systems.
• Analytical mind with a problem-solving aptitude and the ability to take initiative in an innovative environment.

Knowledge, Skills, Abilities and Competencies

• Action Oriented

• Collaborates

• Drives Results

• Communicates Effectively

• Customer Focus

• Strategic Mindset

Compensation:

$75hr to $100hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law