
Senior AI / ML Engineer
Select Minds LLC
full-time
Posted on:
Location Type: Remote
Location: Remote • Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $60 - $75 per hour
Job Level
Senior
Tech Stack
AWSAzureCloudDockerETLGoogle Cloud PlatformHadoopKubernetesPythonSpark
About the role
- 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
Requirements
- 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
Benefits
- Health insurance
- Opportunity for advancement
- Vision insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI applicationsML applicationsMLOpsdeep learningneural networksimage processingconversational AIdata engineeringETL processesdata modeling
Soft skills
technical leadershipmentoringcollaborationcommunicationproblem-solvingcross-functional teamworkreliabilityscalabilityperformance optimizationsolution architecture