Senior Analyst - AI Engineering
Tasks
- Apply security privacy and responsible AI requirements
- Communicate progress blockers and technical findings
- Coordinate with product owners and architects
- Deliver user stories and technical tasks in sprints
- Design test and deploy AI applications
- Develop and maintain machine learning solutions
- Escalate risks and technical issues
- Evaluate model performance and monitor solutions
- Follow MLOps and DevOps standards
- Implement generative AI and LLM capabilities
- Implement retrieval-augmented generation
- Integrate data and support data quality and governance
- Monitor and maintain deployed AI solutions
- Participate in agile ceremonies
- Perform code reviews and documentation
- Prepare data and perform feature engineering
- Support AI service deployment in enterprise platforms
- Support continuous learning and process improvements
- Support testing, deployment, and release activities
Perks/Benefits
- Annual bonus
- Caregiver leave
- Health insurance
- Parental leave
- Vacation days
- Volunteer leave
- Wellbeing reimbursement
Skills/Tech-stack
AWS | Agile | Azure | CI/CD | Cloud platform | Data Governance | Data Pipelines | Data Quality | DevOps | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | LLM | Language Models | Large Language Models | MLOps | Machine Learning | Python | Retrieval-Augmented Generation | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Analyst | Engineer | Senior Analyst
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