Job description

Job Summary: We are seeking a Houston based technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This in office role is pivotal to our AI transformation journey, enabling autonomous AI agents that streamline operations, enhance decision-making, and unlock new efficiencies across the organization. The ideal candidate will possess a hybrid skill set spanning machine learning, data engineering, and software development, with a passion for building scalable AI systems and a strong foundation in data governance. Key Responsibilities: • Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions (e.g., IT, HR, Finance, Operations). • Collaborate with cross-functional teams to identify high-impact AI use cases and translate them into technical solutions. • Build and maintain robust ML pipelines, including data ingestion, model training, deployment, and monitoring (MLOps). • Lead data standardization initiatives to ensure high-quality, consistent, and AI-ready data across systems. • Partner with data engineering and IT teams to define and implement data governance frameworks, taxonomies, and metadata standards. • Monitor and optimize AI model performance in production environments, ensuring reliability, scalability, and alignment with business goals. • Serve as a technical advisor on AI/ML best practices, tools, and emerging technologies. • Support change management efforts to improve data literacy and promote standardization best practices • Stay ahead of industry trends and maintain compliance with evolving regulations affecting AI and data. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. • 5+ years of experience in machine learning engineering, data science, or AI solution development. • Proven experience deploying ML models into production environments using cloud platforms (e.g., Azure, AWS, GCP). • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. • Strong understanding of data structures, algorithms, and software engineering principles. • Experience with data governance, data quality frameworks, and enterprise data architecture. • Familiarity with MLOps tools and practices (e.g., CI/CD for ML, model monitoring, versioning). • Excellent communication skills and ability to collaborate across technical and non-technical teams. • Currently residing in Houston, Texas area and able to work from Houston office. Preferred Qualifications: • Experience building or integrating AI agents or autonomous systems. • Knowledge of enterprise systems (e.g., ERP, CRM) and their data structures. • Familiarity with data visualization tools (e.g., Power BI / SSRS) and SQL. • Experience with multi-agent systems or agent orchestration frameworks. About FET FET (Forum Energy Technologies, Inc.) is a global company, serving the crude oil, natural gas, and renewable energy industries. FET is headquartered in Houston, TX with quality manufacturing, efficient distribution, and service facilities conveniently located to support the major energy-producing regions of the world. Forum’s products and services range from the underwater reservoir to the refinery, from the sea floor to the above ground transportation line. We pride ourselves on giving you a comprehensive offering of solutions to maximize your operations and improve your bottom line. Our customers are our partners and we work with them to solve their ever-changing challenges. FET is an Equal Opportunity Employer. FET does not discriminate on the basis of race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected under federal, state, or local law. All employment decisions and practices at FET are subject to the foregoing non-discrimination provisions and are based solely on merit, competence, performance, and business needs at the time. FET participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. FET participa en E-Verify y proporcionará al gobierno federal la información de su Formulario I-9 para confirmar que usted está autorizado para trabajar en los EE.UU.. As part of our hiring process, we may use technology, including AI-enabled tools, to help review and assess applications based on job-related criteria. All hiring decisions are made by our recruitment team and hiring managers.

Requirements

Must-haves

Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions (e.g., IT, HR, Finance, Operations).
Collaborate with cross-functional teams to identify high-impact AI use cases and translate them into technical solutions.
Build and maintain robust ML pipelines, including data ingestion, model training, deployment, and monitoring (MLOps).
Lead data standardization initiatives to ensure high-quality, consistent, and AI-ready data across systems.
Partner with data engineering and IT teams to define and implement data governance frameworks, taxonomies, and metadata standards.
Monitor and optimize AI model performance in production environments, ensuring reliability, scalability, and alignment with business goals.
Serve as a technical advisor on AI/ML best practices, tools, and emerging technologies.
Support change management efforts to improve data literacy and promote standardization best practices
Stay ahead of industry trends and maintain compliance with evolving regulations affecting AI and data.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
5+ years of experience in machine learning engineering, data science, or AI solution development.
Proven experience deploying ML models into production environments using cloud platforms (e.g., Azure, AWS, GCP).
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
Strong understanding of data structures, algorithms, and software engineering principles.
Experience with data governance, data quality frameworks, and enterprise data architecture.
Familiarity with MLOps tools and practices (e.g., CI/CD for ML, model monitoring, versioning).
Excellent communication skills and ability to collaborate across technical and non-technical teams.
Currently residing in Houston, Texas area and able to work from Houston office.

Nice-to-haves

Experience building or integrating AI agents or autonomous systems.
Knowledge of enterprise systems (e.g., ERP, CRM) and their data structures.
Familiarity with data visualization tools (e.g., Power BI / SSRS) and SQL.
Experience with multi-agent systems or agent orchestration frameworks.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningazureawsgcppythonci/cdsql

Platform: ukg
Effort: medium

Benefits

Benefits detected in the listing.

Vision