Gen AI Data Engineer
Tiger AnalyticsColorado, United States
Posted April 14, 2025
Full Time
About the Company
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Job Description
Tiger Analytics is seeking experienced Machine Learning Engineers with a strong focus on Gen AI. This role involves building and maintaining global analytics consulting teams, leveraging data science and AI expertise to deliver business value. The company is expanding its global analytics team and is seeking top talent in the Gen AI field.
Requirements
- Programming Languages: Python, SQL, PySpark
- Data Warehousing: Snowflake, NOSQL and Neo4j
- Data Pipelines: Apache Airflow
- Cloud Platforms: AWS, GCP, SageMaker
- Operating Systems: Linux
- Batch/Realtime Pipelines: Apache Airflow
- Version Control: GitHub
- Development Tools: VS Code
- Engineering Practices: Testing, Deployment Automation, DevOps/SysOps
- Communication: Strong presentation and communication skills
- Collaboration: Experience working with onshore/offshore teams
- Desired Skills: Big Data Technologies (Hadoop, Spark), Data Visualization, APIs, Machine Learning, Generative AI, Knowledge Graphs, Vector Databases, Data Persistence
- Additional Expertise: Knowledge Graphs, Vector Databases, Data Persistence, Cloud Technologies, Automation Tools, Infrastructure as Code, Containerization, Monitoring and Optimization, Security Best Practices, Scalability, Disaster Recovery, Problem-Solving, Adaptability, Team Collaboration
- GenAI Specific Skills: Industry Experience, Data Platforms, Data Pipelines, Graph Algorithms, Data Infrastructure, Data Curation, Ontologies, Integration, Experimentation
- Experience: 8+ years in data engineering, platform engineering, or related fields
- Proven track record of architecting data platforms
- Experience with Document Ingestion, Indexing, and Retrieval
Benefits
- Excellent opportunity for career development
- Fast-growing and challenging environment
- High degree of individual responsibility
