Senior AI ML Engineer

Benefits

• Health insurance
• Opportunity for advancement
• Vision insurance

Senior AI / ML Engineer Dallas, Tx - Remote 7+ Years (3+ Years in MLOps)

• Lead the design and development of AI and ML applications across cloud or on-prem environments
• Build, maintain, and optimize MLOps pipelines for model training, deployment, monitoring, and retraining
• Integrate Generative AI models into enterprise applications and workflows
• Apply deep learning, neural networks, image processing, or conversational AI where needed
• Act as the SME for AI/ML engineering practices, standards, and solution architecture
• Collaborate with cross-functional teams to support end-to-end delivery
• Ensure production systems meet reliability, scalability, and performance standards
• Guide and mentor junior engineers and contribute to technical leadership
• Support data engineering pipelines, data preparation, and model operationalization

• 5+ years of experience in AI/ML engineering, including 3+ years in MLOps
• Strong hands-on experience with AWS Sage Maker, Databricks, and CI/CD tools
• Proficiency in Python; experience with R or SAS is an advantage
• Experience deploying, monitoring, and optimizing ML models in production environments
• Knowledge of Docker, Kubernetes, REST APIs, and JSON processing
• Familiarity with big-data ecosystems such as Spark or Hadoop
• Solid understanding of ETL processes, data modeling, and data engineering practices
• Experience with cloud platforms (AWS, Azure, or GCP) and ML-focused architectures
• Strong version control, dependency management, and automation skills

• Hands-on experience building or integrating Generative AI solutions
• Background in software engineering and data analytics
• Strong problem-solving skills and ability to drive technical decision-making

Work remote temporarily due to COVID-19.