UP
Full time
🤖 AI / ML
Senior AI Engineer at UPS
Listed by DevShelfHub
India (IMEA)
Hybrid
Senior · 8–12 yrs
About the Role
UPS is hiring a Senior AI Engineer to solution and lead development of next-generation AI/ML applications on Google Cloud. This role bridges machine learning and DevOps, requiring expertise in cloud-native technologies and modern ML frameworks.
Join a Fortune Global 500 organization driving AI innovation at scale.
What you'll do
- Design and implement scalable AI/ML pipelines using Databricks and Python
- Build cloud-native solutions on Google Cloud with AlloyDB and CloudRun
- Build and optimize APIs using Google Cloud API Gateway
- Develop LLM applications leveraging Google's Gemini API
- Establish DevOps and artifact management using JFrog Artifactory
- Lead technical design reviews and provide mentorship to junior engineers
- Implement CI/CD pipelines with versioning and deployment automation
- Collaborate with cross-functional teams to deliver high-impact features
What we're looking for
- 8+ years software development with 3+ years in cloud-native architectures
- Advanced Python skills with production ML/AI systems experience
- Hands-on GCP experience with AlloyDB, CloudRun, and API Gateway
- Proven expertise with Databricks for data engineering and ML model training
Skills & Technologies
Required
8+ years software development with 3+ years in cloud-native architectures
Advanced Python skills with production ML/AI systems experience
Hands-on GCP experience with AlloyDB, CloudRun, and API Gateway
Proven expertise with Databricks for data engineering and ML model training
Strong understanding of LLM concepts and LLM application integration
Experience with artifact repositories and build systems (JFrog Artifactory or equivalent)
Expertise in microservices, containerization (Docker/Kubernetes), and DevOps practices
Demonstrated leadership mentoring junior developers
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Lead technical design and mentor teams building cloud-native AI/ML on Google Cloud.
- Design and implement scalable AI/ML pipelines using Databricks and Python
- Build cloud-native solutions on GCP with AlloyDB and CloudRun
- Develop LLM applications leveraging Google's Gemini API
- Establish DevOps with JFrog Artifactory for artifacts and container images
- Lead technical design reviews and architectural decisions
- Implement CI/CD pipelines with build artifact management and deployment automation
- Mentor junior engineers and drive technical excellence
- Collaborate with Product, Data Science, and Infrastructure teams
- Permanent employee position
- Ownership of complex, ambiguous technical challenges
About UPS
UPS is a Fortune Global 500 organization that values people with a unique combination of skill and passion. The company provides opportunities to cultivate skills and take careers to the next level through innovative technology roles.
- Industry
- Technology
- Company Size
- 500+
- Website
- ups.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 8–12 years
- Location
- India (IMEA)
- Work Mode
- Hybrid
- Category
- AI / ML
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