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Machine Learning Engineer (LLMs / AI)

Ghsmartjobs

United States Remote permanent

Posted: January 16, 2026

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Quick Summary

Machine Learning Engineer (LLMs / AI) with expertise in natural language processing and machine learning algorithms. The ideal candidate should have a strong background in computer science and experience with deep learning frameworks such as TensorFlow or PyTorch. Strong problem-solving skills and attention to detail are also essential.

Job Description

Who We Are

ghSMART is a premier leadership advisory firm trusted by CEOs, boards, and investors to solve their most critical leadership and talent decisions. For more than 30 years, we’ve partnered with many of the world’s most influential leaders and organizations to build winning leadership teams and amplify positive impact. Recognized for excellence, ghSMART consistently earns top rankings in industry surveys (e.g., Vault Consulting awards) and is featured in Forbes’ list of America’s Best Management Consulting Firms. Our culture is entrepreneurial and collaborative, with a strong focus on innovation and client success. Our team is made up of nearly 200 extraordinary individuals across the U.S., Europe, and APAC, who become trusted advisors to these leaders, helping amplify their positive impact on the world. We advise on the art and science of building winning leadership teams, doing meaningful work every day.

What You’ll Do

As a Machine Learning & Data Engineer, you will leverage ghSMART’s extensive, structured leadership dataset to build advanced AI solutions/agents and create new RAG‑based solutions. You’ll contribute to the evolution of our ghSMART Leadership Intelligence Platform, help drive research initiatives, and collaborate with academic partners. You will also support both data engineering and AI engineering efforts, ensuring systems, pipelines, and models work cohesively to power leadership insights at scale.


Responsibilities:
• Design, build, and extend ML models (LLMs and traditional ML) that deliver high-accuracy insights from ghSMART’s structured leadership dataset; own end-to-end experimentation, evaluation, and deployment.
• Develop RAG-based agents and algorithms to unlock novel leadership insights from our research database.
• Integrate advanced solutions and AI Agents into the Leadership Intelligence Platform and partner cross-functionally to align features with strategic objectives and user needs.
• Optimize data pipelines and workflows to ensure robust, efficient data ingestion, transformation, and model serving across engineering teams.
• Collaborate on research with academic partners and contribute to publications and thought leadership by validating findings with rigorous methods.


You Bring:
• 5+ years of ML engineering experience building and shipping large-scale models and systems (training, tuning, inference, MLOps, monitoring).
• Hands-on expertise with RAG frameworks and LLMs, including designing retrieval strategies, prompt orchestration, evaluation, and deployment at scale. Experience building AI agents via the LangChain, LangGraph framework is a plus.
• Strong data engineering fundamentals across pipelines, data quality, and feature engineering to support reliable ML workflows. Experience with Databricks and Azure is a plus.
• Security and privacy mindset, with experience applying best practices to protect sensitive data in ML systems.
• Collaborative, remote-first working style with clear communication and ownership; familiarity with Salesforce (SFDC), Jira, Confluence, and Git.


Why join ghSMART?

Meaningful Impact Everyday: We believe leadership is the greatest force for good. At ghSMART, whether you're guiding the world’s top leaders or helping power the firm from within, you play a vital role in solving our clients’ greatest challenge: building and developing talented, diverse teams that fuel lasting success. Together, we help leaders amplify their positive impact—on their organizations, their people, and the world.

Exceptional team, grounded in generosity: We have a team of extraordinary people united by excellence, humility, and a shared purpose. You’ll collaborate with brilliant colleagues who challenge and support you. Here, exceptional talent meets deep respect—where people show up with heart, and everyone has a place.

Freedom to Shape a Career with Purpose: You have the power to shape a career that aligns with your purpose—doing meaningful work that drives impact for the world’s top leaders. You’ll help solve challenges that matter while being supported by brilliant colleagues and trusted with the flexibility you need to recharge, perform at your best, and grow for the long term.

Have your voice and talents recognized. We are a flat organization that values proactivity and ability over bureaucracy and tenure. All our decisions and actions are guided by our Values and Credo - to help leaders amplify their positive impact on the world.

Learn why our consultants love working here.

We are ranked #1 or #2 in 10 Consulting categories by Vault. See what others think about working at ghSMART on Glassdoor.

Compensation

Certain US jurisdictions require ghSMART to include a reasonable estimate of the salary range for this role. We are built on a culture of freedom and flexibility, we operate fully remotely, and our team members balance deeply energizing, high intensity work, with flexible schedules to support life outside of work. Our compensation model reflects these values. Compensation for this role in the United States includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution, and a comprehensive benefits package. You should reasonably expect a base salary of $160,000 - $175,000. In addition, we offer an annual discretionary performance bonus.

Please be advised that all emails will originate from the @ghsmart.com domain; any other domains are fraudulent, should be ignored, and deleted.

ghSMART is an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace across all of our global locations. We welcome applicants of all backgrounds and ensure equal employment opportunities without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Our global policies and practices are designed to support an environment of respect and equity for all.

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