Location: Bangalore
Experience: 3+ yrs
Skill: Machine Learning
Job Description
- Design and build systems which improve machine learning scalability, usability, and performance.
- Work cross-functionally with product managers, data scientists, and engineers to understand, implement, and deploy machine learning pipelines.
- Work with data scientists and MLE to build pipelines to train and deploy models.
- Effectively communicate results to peers and leaders.
- Explore the state-of-the-art technologies and apply them to deliver customer benefits.
- Embed into development projects and assist teams in delivering new features, services, and consumer experiences through production with speed and quality. You honor operational rigor and think first about customer experiences
- Consider security, reliability, operability, and performance when designing and implementing technical solutions
- Full stack system engineering. Utilize your deep knowledge of networking, systems, and software engineering coupled with your understanding of service-oriented architectures, mastery of CI/CD and AWS to steer operational approaches and solutions
- Work on significant assignments which are broad in scope and complexity, span organizational boundaries, and cover a wide range of technology
- Lead Failure Mode Effect Analysis (FMEA) working sessions and automate chaos engineering within the Intuit AI ecosystem
- Expertly build and operate services within AWS. Assist project teams with designing and setting up highly available cloud environments
- Think pragmatically when introducing new technology. Balance the demand for realistic, short-term goals to meet
project and seasonal deadlines, with the need for longer-term, potentially more disruptive innovation