Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description
Job Title : AI/ML Engineer
Job Type : W2 / C2C / 1099
Experience : 8-10 Years
Location : Dallas, Texas
We are seeking an experienced AI/ML Engineer who will have a strong background in computer science or engineering, with significant experience in AI and machine learning engineering. You will be responsible for developing and deploying large-scale applications in cloud environments, ensuring robust performance monitoring, and collaborating effectively with both technical and non-technical stakeholders.
Responsibilities
- Four or more years of experience in computer software development.
- At least two years of experience in AI/ML Engineering.
- Proficiency in programming languages such as Python and Java.
- Experience in developing large applications in cloud environments (AWS, GCP, on-premise).
- Hands-on experience with Kubernetes (K8s) for deploying and managing large applications.
- Strong understanding of real-time system performance monitoring and statistics collection.
- Basic knowledge of real-time feature engineering practices.
- Understanding of basic data science concepts and the needs of data scientists.
- Strong collaboration and communication skills, especially with non-technical business stakeholders.
- Experience with cloud infrastructures and MLOps practices.
- Familiarity with CI/CD processes and frameworks such as ArgoCD.
- Develop, deploy, and maintain large-scale applications in cloud environments including AWS, GCP, and on-premise clusters.
- Utilize expertise in RTML model serving and large-scale real-time framework development.
- Implement and manage Kubernetes (K8s) architecture, ensuring proper configuration and troubleshooting.
- Collect and monitor real-time system performance statistics.
- Apply basic real-time feature engineering methodologies and practices.
- Collaborate with data scientists to understand their needs and integrate AI/ML solutions effectively.
- Engage with business stakeholders to understand requirements and communicate technical solutions clearly.
- Ensure the adoption of best practices in MLOps and cloud infrastructures.
- Implement and manage CI/CD processes using frameworks such as ArgoCD.
Qualification
- Bachelor's degree or equivalent combination of education and experience
