Google Cloud AI/ML Engineer
Jobgether (company site, opens in a new tab)3–10 yrsRemoteDirect career pageEst. 15–40 LPA
Posted 1d ago
Reach people at Jobgether
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Jobgether you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy end-to-end AI and ML solutions on Google Cloud tailored to client business objectives.
- Take full ownership of AI systems from prototype to production, ensuring scalability, reliability, security, and measurable impact.
- Collaborate with clients and Google Cloud teams to communicate technical decisions, troubleshoot, and improve deployed AI applications.
Minimum Requirements
- 3 to 10 years of experience in software or ML engineering with production AI solutions on Google Cloud.
- Strong Python programming skills with maintainable, well-tested code practices.
- Solid understanding of ML fundamentals including model evaluation and selection.
- Ability to work remotely from India with approx. 6 hours overlap with North American Eastern Time.
Ideal Candidate Profile
- Experienced in delivering scalable, secure, production-grade AI/ML solutions on Google Cloud beyond proof-of-concept.
- Skilled at translating business problems into practical AI applications, balancing technical trade-offs and measurable outcomes.
- Comfortable owning end-to-end AI development lifecycle and collaborating across distributed, cross-functional teams including clients and partners.