Select Minds LLC
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr