We are seeking a visionary and technically adept Principal AI Engineer /Software Engineer in Data Science to lead analytics initiatives and drive innovation across our organization. This role demands deep expertise in machine learning, AI engineering, and full-stack analytics application development, along with the ability to influence cross-functional strategy and mentor emerging talent. You will architect scalable solutions, operationalize advanced models, and serve as a trusted advisor to senior leadership!

In This Role, Your Responsibilities Will Be:

Development

• Translate complex business needs into actionable AI and data science solutions
• Architect and operationalize advanced machine learning pipelines, including feature stores, automated retraining, and drift monitoring.
• Implement MLOps practices to reduce experiment-to-production cycles and ensure model reliability and governance.
• Develop full-stack analytics applications, integrating predictive and generative services into BI layers and building reusable components for enterprise use.
• Pilot and standardize GenAI models tailored to vertical domain use cases, driving innovation and competitive advantage.
• Design and maintain high-quality data pipelines across batch and streaming architectures, embedding data quality, lineage, and auto-scaling.

Technical Leadership & Mentoring

• Guide and mentor data scientists and analytics engineers, fostering a culture of excellence, experimentation, and continuous learning.
• Promote metadata-driven pipelines and “data as code” principles across analytics teams.

Who You Are:

You deliver messages in a clear, compelling, and concise manner. You show a tremendous amount of initiative in tough situations and are exceptional at spotting and seizing opportunities. You achieve and are consistently known as a top performer.

For This Role, You Will Need:

• Master’s Degree in Data Science, Computer Science, Statistics, or related field with 5+ years of experience, or equivalent Bachelor’s Degree and experience.
• Proven track record of delivering enterprise-scale analytics solutions
• Expertise in Python, R, SQL, and distributed systems (e.g., Spark, Airflow, Databricks).
• Deep understanding of AI/ML concepts including neural networks, NLP, model validation, and bias mitigation.
• Experience with MLOps platforms, model registries, and governance frameworks.
• Strong process and operational business acumen

Preferred Qualifications That Set You Apart:

• Certifications in AI/ML, MLOps, or cloud platforms (e.g. Azure or Snowflake).
• Experience programming proprietary agentic workflows and integrating them into business workflows.

Our Culture & Commitment to You:

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our dedication to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.