Senior AI / ML Engineer
Full Time • Temporarily Remote - US
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
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.
Compensation: $60.00 - $75.00 per hour
About Us
We work to deliver profitability in your business – with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.
(if you already have a resume on Indeed)