Machine Learning Platform Lead (Hybrid Work Schedule)

Machine Learning Platform Lead

Location: Houston, Texas or Dallas, Texas or Calgary, Alberta, Canada

Model of Work: Hybrid

Are you excited by challenges?  Do you enjoy working in a fast-paced, international and dynamic environment?  Then now is the time to join Quorum Software, a rapidly growing company and industry leader in oil & gas transformation.

Quorum Software is the world's largest provider of digital technology focused solely on business workflows that empower the next evolution of energy. From emerging companies to supermajors, throughout every region of the globe, customers rely on Quorum's proven innovation and unmatched global expertise to streamline business operations and make data-driven decisions that optimize profitability and growth. Our industry-leading solutions are transforming energy companies across the entire value chain, helping visionary leaders evolve their organizations into modern energy companies.

Overview

We're seeking a Machine Learning (ML) Platform Lead to establish Quorum's machine learning capability. This role combines hands-on technical architecture with team building and strategic direction. You'll define how we do ML at Quorum while shipping actual models.

The ideal candidate brings deep experience in both model development and production ML infrastructure. You'll architect our ML platform (model registry, training pipelines, deployment infrastructure, MLOps practices) while hiring and leading an ML team. You'll also establish our data science practice, defining how we identify opportunities, evaluate solutions, and measure impact across our product portfolio.

This role requires someone who can make pragmatic decisions about when ML is necessary versus when simpler solutions suffice. You'll work closely with product teams to translate business needs into technical requirements and guide investment decisions based on clear trade-offs.

Strong communication skills and experience managing stakeholder relationships are essential. You'll coordinate with engineering leaders across multiple product lines and establish the engagement model between ML and product teams.

Responsibilities

• Establish and lead Quorum’s machine learning capability, defining the overall vision, architecture, and operating model for ML across the organization.
• Design and implement the ML platform, including model registry, training and deployment pipelines, and scalable MLOps practices.
• Develop and ship production-grade ML models, balancing hands-on technical work with leadership and strategy.
• Build and lead a high-performing ML team, including hiring, mentoring, and defining team structure and processes.
• Define and grow Quorum’s data science practice, setting standards for identifying opportunities, evaluating models, and measuring impact across products.
• Collaborate with product and engineering teams to translate business needs into ML solutions and determine when ML is or isn’t the right approach.
• Drive alignment across product lines, establishing clear engagement models and communication channels between ML, engineering, and product stakeholders.
• Make pragmatic, data-driven decisions about technical trade-offs, investment priorities, and platform evolution.
• Represent the ML function in cross-functional planning and leadership discussions, ensuring business value and technical excellence remain aligned.
• And other duties as assigned.

Requirements

• 3+ years in machine learning and data science, with significant production ML experience
• Proven track record shipping production ML models and maintaining them at scale
• Experience architecting ML infrastructure: model registries, training pipelines, deployment systems, monitoring
• Strong background bridging model development and production engineering Experience leading technical teams and hiring talent
• Ability to translate business problems into pragmatic ML solutions
• Hands-on experience with at least one cloud ML platform Databricks, Azure ML, AWS SageMaker, or GCP Vertex AI
• Proficiency with Python and ML frameworks TensorFlow, PyTorch, scikit-learn)
• Comfortable with MLOps practices: versioning, automated retraining, production monitoring
• Experience with exploratory data analysis, feature engineering, and model experimentation

Preferred Skills

• Experience establishing data science practices and teams from scratch
• Experience defining when to use custom models vs traditional algorithms vs LLM-based solutions
• Background in time series forecasting and anomaly detection
• Familiarity with oil and gas operations or industrial IoT domains Experience with predictive maintenance and equipment reliability models Knowledge of production optimization and operational efficiency use cases Experience with LLM fine-tuning and evaluation
• Knowledge of RAG architectures and vector databases
• Experience with Databricks, Unity Catalog, or similar platforms Background in feature engineering and data pipeline development Expertise in A/B testing and model performance evaluation
• Experience with cost optimization for ML workloads
• Familiarity with both traditional ML and deep learning approaches

Additional Details

• Background Check: The successful candidate will need to successfully complete the following clearances: Criminal History Check, Education Verification, Employment Verification, Driver’s License Verification and passport/ID validation.
• Visa Sponsorship: Employment eligibility to work with Quorum Software in the United States or Canada (wherever the successful candidate is currently located) is required as the company will not pursue visa sponsorship for this position. The successful candidate will be required to ensure they maintain and renew any visas or permits that grant employment eligibility where applicable.

About Quorum Software
Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners. Since 1998, Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,800+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace. For more information, visit quorumsoftware.com.

Quorum Diversity Statement: At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging.  We want to be the place where a diverse pool of talented people join us, stay with us and do their best work.  With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique.

Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law.

Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department

Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.