Robert Half
About the Role
We are seeking a
Principal AI Engineer
to spearhead the development of predictive analytics and machine learning capabilities from the ground up. Youll join a small, collaborative team of BI and Data Engineering professionals and play a pivotal role in transforming how the organization leverages data. Today, we focus on historical reportingyour mission is to enable forward-looking insights through advanced analytics and AI-driven solutions. This is a hands-on leadership position where youll partner closely with business stakeholders to understand their needs, identify high-impact opportunities, and deliver solutions that tell a compelling story through data. If you thrive in greenfield projects and want to make a measurable impact, this is the role for you. Key Responsibilities Design, develop, and deploy
predictive models , machine learning algorithms, and AI-driven solutions to support strategic decision-making. Build and optimize
end-to-end ML pipelines , including data ingestion, feature engineering, model training, and deployment. Collaborate with business leaders to translate requirements into actionable analytics initiatives and measurable outcomes. Conduct
exploratory data analysis
to uncover patterns, trends, and opportunities for predictive insights. Implement
model evaluation and monitoring frameworks
to ensure accuracy, scalability, and performance over time. Integrate predictive insights into BI dashboards and reporting tools for business consumption. Stay current with emerging technologies in AI/ML, deep learning, and cloud-based analytics platforms. Serve as a technical mentor and thought leader for AI and advanced analytics within the organization. Partner with DevOps teams to streamline deployment and operationalization of ML models in production environments. Required Qualifications Expertise
in data science, machine learning, or AI engineering roles. Proven expertise in
predictive analytics , statistical modeling, and algorithm development. Strong programming skills in
Python and R , with experience using ML frameworks such as
TensorFlow, PyTorch, or Scikit-learn . Hands-on experience with
cloud platforms
(Azure preferred; AWS/GCP acceptable) for ML model deployment and scaling. Solid understanding of
data engineering concepts , including ETL processes and data pipeline design. Familiarity with BI tools (Power BI, Tableau) and ability to embed predictive insights into dashboards. Excellent communication and stakeholder engagement skillsable to explain complex technical concepts in business terms. Bachelors degree in Computer Science, Data Science, or related field (or equivalent experience). Preferred Skills Experience with
SAP analytics
or SAP environments. Advanced degree (MS or PhD) in a quantitative discipline is a plus. Knowledge of
MLOps practices
for continuous integration and deployment of ML models. Why This Role? Opportunity to
build predictive analytics capabilities from the ground up . Highly visible position with strong executive support. Competitive compensation up to $190K and hybrid
Principal AI Engineer
to spearhead the development of predictive analytics and machine learning capabilities from the ground up. Youll join a small, collaborative team of BI and Data Engineering professionals and play a pivotal role in transforming how the organization leverages data. Today, we focus on historical reportingyour mission is to enable forward-looking insights through advanced analytics and AI-driven solutions. This is a hands-on leadership position where youll partner closely with business stakeholders to understand their needs, identify high-impact opportunities, and deliver solutions that tell a compelling story through data. If you thrive in greenfield projects and want to make a measurable impact, this is the role for you. Key Responsibilities Design, develop, and deploy
predictive models , machine learning algorithms, and AI-driven solutions to support strategic decision-making. Build and optimize
end-to-end ML pipelines , including data ingestion, feature engineering, model training, and deployment. Collaborate with business leaders to translate requirements into actionable analytics initiatives and measurable outcomes. Conduct
exploratory data analysis
to uncover patterns, trends, and opportunities for predictive insights. Implement
model evaluation and monitoring frameworks
to ensure accuracy, scalability, and performance over time. Integrate predictive insights into BI dashboards and reporting tools for business consumption. Stay current with emerging technologies in AI/ML, deep learning, and cloud-based analytics platforms. Serve as a technical mentor and thought leader for AI and advanced analytics within the organization. Partner with DevOps teams to streamline deployment and operationalization of ML models in production environments. Required Qualifications Expertise
in data science, machine learning, or AI engineering roles. Proven expertise in
predictive analytics , statistical modeling, and algorithm development. Strong programming skills in
Python and R , with experience using ML frameworks such as
TensorFlow, PyTorch, or Scikit-learn . Hands-on experience with
cloud platforms
(Azure preferred; AWS/GCP acceptable) for ML model deployment and scaling. Solid understanding of
data engineering concepts , including ETL processes and data pipeline design. Familiarity with BI tools (Power BI, Tableau) and ability to embed predictive insights into dashboards. Excellent communication and stakeholder engagement skillsable to explain complex technical concepts in business terms. Bachelors degree in Computer Science, Data Science, or related field (or equivalent experience). Preferred Skills Experience with
SAP analytics
or SAP environments. Advanced degree (MS or PhD) in a quantitative discipline is a plus. Knowledge of
MLOps practices
for continuous integration and deployment of ML models. Why This Role? Opportunity to
build predictive analytics capabilities from the ground up . Highly visible position with strong executive support. Competitive compensation up to $190K and hybrid