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)

Roles and Responsibilities
- 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

Required Qualifications
- 5+ years of experience in AI/ML engineering, including 3+ years in MLOps
- Strong hands-on experience with AWS SageMaker, 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

Preferred Qualifications
- 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.