Position - Data Scientist – Engineering (Cloud & Agentic AI)
Location - Atlanta, GA (Onsite position)
Long term position
Pay rate - $45/hr on W2/Danta Technologies payroll. We cannot sponsor for this position. Looking for independent candidates.
Looking for a strong individual contributor who can independently own and deliver end-to-end solutions with minimal guidance or support.
Job Summary
We are seeking a Data Scientist – Engineering (Cloud & Agentic AI) with strong software engineering and cloud development expertise. The ideal candidate will design, develop, and deploy scalable AI/ML solutions on Google Cloud Platform (Google Cloud Platform) using Python . This role focuses on building production-grade AI applications, integrating Agentic AI capabilities, and implementing modern DevOps and cloud engineering practices.
Key Responsibilities
- Design, develop, and deploy AI/ML applications using Python .
- Build scalable, cloud-native AI solutions on Google Cloud Platform (Google Cloud Platform) .
- Develop and maintain production-ready APIs, microservices, and AI workflows.
- Integrate and optimize Agentic AI solutions using Large Language Models (LLMs).
- Implement CI/CD pipelines using Git and Jenkins for automated deployments.
- Collaborate with engineering teams to build secure, scalable, and reliable cloud applications.
- Optimize application performance, reliability, and cloud resource utilization.
- Follow software engineering best practices, including code reviews, testing, version control, and documentation.
- Stay current with emerging AI, cloud, and engineering technologies.
Required Skills- Strong programming experience in Python
- Hands-on experience with Google Cloud Platform (Google Cloud Platform)
- Experience with Git and version control workflows
- CI/CD pipeline development using Jenkins
- Experience building Agentic AI or Generative AI applications
- Strong software engineering fundamentals
- Experience developing cloud-native applications and services
- Knowledge of REST APIs, microservices, and cloud deployment best practices
Preferred Skills- Experience with Vertex AI and Google Cloud Platform AI services
- Familiarity with AI orchestration frameworks such as LangGraph , LangChain , or CrewAI (nice to have)
- Experience with Docker and Kubernetes
- Knowledge of MLOps and cloud-based AI deployment
Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.
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