Note: The job is a remote job and is open to candidates in USA. GSPANN Technologies, Inc. is a consulting and IT services company helping organizations transform IT capabilities and improve operational efficiency. The company is seeking a Senior AI Engineer to build production AI systems, develop Databricks-based AI agents, modernize enterprise data pipelines, and design scalable cloud-native AI and data engineering solutions.
Responsibilities
- Design, develop, and maintain production-grade AI and machine learning solutions
- Develop and implement AI agents and intelligent solutions using Databricks
- Modernize and optimize enterprise data pipelines using Python, SQL, and Apache Spark
- Design scalable, cloud-native architectures for AI and data engineering workloads
- Build and deploy scalable machine learning solutions for enterprise use cases
- Develop reliable and maintainable data and AI workflows across the enterprise
- Collaborate with data engineers, AI/ML engineers, architects, and business stakeholders to deliver production solutions
- Optimize AI, ML, and data processing workloads for scalability, performance, and reliability
- Implement appropriate testing, monitoring, deployment, and operational practices for AI and data platforms
- Troubleshoot complex AI, machine learning, and data engineering issues and drive solutions through implementation
Skills
- 10+ years of experience in AI, machine learning, data engineering, or related technology disciplines
- Strong experience building production AI systems and enterprise data platforms
- Hands-on experience developing AI agents using Databricks
- Strong proficiency in Python, SQL, and Apache Spark
- Proven experience modernizing and optimizing enterprise data pipelines
- Strong understanding of cloud-native architecture and scalable distributed systems
- Experience designing and implementing scalable machine learning solutions
- Strong understanding of production AI/ML engineering practices
- Ability to work effectively across AI, machine learning, and data engineering teams
- Strong analytical, troubleshooting, and problem-solving skills
- Strong Databricks experience across AI, machine learning, and data engineering workloads
- Experience developing enterprise-grade AI agents and intelligent automation solutions
- Experience with major cloud platforms and cloud-native data/AI services
- Experience modernizing legacy enterprise data platforms and pipelines
- Experience with machine learning model deployment, monitoring, and optimization
- Experience working with large-scale distributed data processing environments
- Strong understanding of enterprise AI architecture and production ML operations
Benefits
- Competitive benefits
- Educational assistance
- Career growth opportunities
- United States (Remote)
- Opportunity to work globally with some of the best brands in the industry
Company Overview
Company H1B Sponsorship