Data Scientist or AI/ML Engineer
Job in
Cumming, Forsyth County, Georgia, 30128, USA
Listed on 2026-07-25
Listing for:
StarX Technologies
Full Time
position Listed on 2026-07-25
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
About This Role
As an MLOps Engineer at StarX Technologies, you will bridge the gap between data science and production systems. You’ll be responsible for building robust ML pipelines, enabling continuous integration and delivery for AI/ML models, and ensuring high availability in production environments.
Key Responsibilities- Design and implement AI/ML, GenAI, RAG, Vector search, LLM, Agentic AI, MLOps, and CI/CD pipelines for enterprise clients
- Collaborate with customers architects, data scientists, and engineers to product ionize models
- Strong knowledge of cloud security, CI/CD, and infrastructure as code (IaC) with hands‑on experience in Terraform, Cloud Formation, or ARM templates
- Ensure compliance, governance, and ethical AI practices
- Monitor and optimize AI/ML, GenAI, RAG, Vector search, LLM, Agentic AI, MLOps, and CI/CD pipelines performance in real-time
- 10+ years of experience in Data Science or ML engineering
- 6+ years of experience in Distributed computing, Databricks, Spark, Python or Scala, SQL, Delta Lake, Unity Catalog, and Data Model
- Expertise in one of the (AWS, Azure, and GCP) cloud services
- Strong knowledge of cloud security, CI/CD, and infrastructure as code (IaC) with hands‑on experience in Terraform, Cloud Formation, or ARM templates
- Bachelor’s or Master’s degree in Computer Science or related field
- Excellent client‑facing communication skills and ability to present complex technical concepts to non‑technical stakeholders
- Experience managing technical relationships with customers and partners ecosystems
- Databricks certifications and strong spark experience
- Experience with hybrid cloud
- Knowledge of cloud cost optimization practices
- Background in consulting or professional services
- Competitive salary and equity options
- Health, dental, and vision plans
- 401(k) with matching
- Remote‑friendly work culture
- Annual AI/ML conference sponsorship
- Continuous learning stipend
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