ML Architect
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We are seeking a highly skilled Machine Learning Architect to lead a cutting-edge Conversational AI project with a significant impact on customers across 7,000 stores in America.
Essential functions
As a Technical Lead, you will work on the most challenging technical problems and guide a cross-functional team of back-end engineers, ML engineers, QA, and DevOps.
Details on the tech stack
Python
GKE, Cloud Run, Cloud Functions
DialogFlow
GCP
Qualifications
- Proven experience as a Tech/Team Lead, strong leadership, communication, and problem-solving skills, ability to thrive in a fast-paced, dynamic environment
- Experience as a Scrum Master
- Experience with enterprise-level applications development using Python, strong troubleshooting and debugging skills for Python applications
- Extensive experience in back-end development
- Expertise in deploying and managing applications on GCP (or other cloud providers such as AWS or Azure)
Would be a plus
- Experience working on ML, Search, or Conversational AI projects
- Basic understanding of ML concepts
- Expertise in deploying and managing applications on GCP, understanding of GCP services and tools, ability to design and architect scalable and reliable solutions on GCP, familiarity with GCP's data storage, networking, and security services
- DialogFlow, LLMs
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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