Forward Deployed AI Engineer
Cloudera · Information Technology
- Location: Bangalore (India)
- Work arrangement: remote in country
- Employment type: Full Time
- Seniority: senior
- Posted:
Job description
Position:
Forward Deployed AI Engineer
Company:
Cloudera
Location:
India, Bangalore
Employment type:
Full time
Work Arrangement:
Remote
Short Summary:
Cloudera is seeking a seasoned, full-stack ML engineer to join their Forward Deployed Engineering team, focusing on accelerating AI adoption within enterprise customers.
Responsibilities:
- Develop full-stack AI/ML applications on Cloudera.
- Work directly with customer teams to drive AI use cases from prototype to production.
- Advise customer leaders on AI roadmaps and solution design.
- Standardize successful patterns into repeatable architectures and solutions.
- Act as a thought leader and mentor Cloudera teams.
- Channel feedback to Product teams for continuous improvement.
Requirement:
- 7+ years of experience building and deploying production-grade systems.
- 2–4 years focused on building ML systems or GenAI applications.
- Strong software engineering, data engineering, and applied AI/ML skills.
- Experience building full-stack ML applications using modern AI frameworks.
Benefits:
- Generous PTO Policy
- Support work-life balance with Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups
Forward Deployed AI Engineer
Company:
Cloudera
Location:
India, Bangalore
Employment type:
Full time
Work Arrangement:
Remote
Short Summary:
Cloudera is seeking a seasoned, full-stack ML engineer to join their Forward Deployed Engineering team, focusing on accelerating AI adoption within enterprise customers.
Responsibilities:
- Develop full-stack AI/ML applications on Cloudera.
- Work directly with customer teams to drive AI use cases from prototype to production.
- Advise customer leaders on AI roadmaps and solution design.
- Standardize successful patterns into repeatable architectures and solutions.
- Act as a thought leader and mentor Cloudera teams.
- Channel feedback to Product teams for continuous improvement.
Requirement:
- 7+ years of experience building and deploying production-grade systems.
- 2–4 years focused on building ML systems or GenAI applications.
- Strong software engineering, data engineering, and applied AI/ML skills.
- Experience building full-stack ML applications using modern AI frameworks.
Benefits:
- Generous PTO Policy
- Support work-life balance with Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups
Skills
- apache
- data_science/data_engineering
- kubernetes
Languages
EN
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