Fluid AI
· Design, implement, and optimize data architectures to support large-scale AI and machine learning systems
· Collaborate with cross-functional teams to define data models, APIs, and integration flows
· Architect secure, scalable data pipelines for structured and unstructured data
· Oversee data governance, access controls, and compliance (GDPR, SOC2, etc.)
· Select appropriate data storage technologies (SQL/NoSQL/data lakes) for various workloads
· Work with MLOps and DevOps teams to enable real-time data availability and model serving
· Evaluate and integrate third-party APIs, datasets, and connectors
· Contribute to system documentation and data architecture diagrams
· Support AI researchers with high-quality, well-structured data pipelines
Requirements
Required Qualifications:
· Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
· 5+ years of experience as a Data Architect, Data Engineer, or in a similar role
· Expertise in designing cloud-based data architectures (AWS, Azure, GCP)
· Strong knowledge of SQL, NoSQL, and distributed databases (PostgreSQL, MongoDB, Cassandra, etc.)
· Experience with big data tools like Spark, Kafka, Airflow, or similar
· Familiarity with data warehousing tools (Redshift, BigQuery, Snowflake)
· Solid understanding of data privacy, compliance, and governance best practices
Preferred Qualifications:
· Experience working on AI/ML or Gen AI-related products
· Proficiency in Python or another scripting language used for data processing
· Exposure to building APIs for data ingestion and consumption
· Prior experience supporting enterprise-level SaaS products
· Strong analytical and communication skills
Travel & Documentation Requirement:
· Candidate must hold a valid passport
· Willingness to travel overseas for 1 week (as part of client collaboration)
· Having a valid US visa (e.g., B1/B2, H1B, Green Card, etc.) is a strong advantage
Why Join Us:
· Work on high-impact, cutting-edge Generative AI products
· Collaborate with some of the best minds in AI, engineering, and product
· Flexible work culture with global exposure
· Opportunity to work on deeply technical challenges with real-world impact
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· Collaborate with cross-functional teams to define data models, APIs, and integration flows
· Architect secure, scalable data pipelines for structured and unstructured data
· Oversee data governance, access controls, and compliance (GDPR, SOC2, etc.)
· Select appropriate data storage technologies (SQL/NoSQL/data lakes) for various workloads
· Work with MLOps and DevOps teams to enable real-time data availability and model serving
· Evaluate and integrate third-party APIs, datasets, and connectors
· Contribute to system documentation and data architecture diagrams
· Support AI researchers with high-quality, well-structured data pipelines
Requirements
Required Qualifications:
· Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
· 5+ years of experience as a Data Architect, Data Engineer, or in a similar role
· Expertise in designing cloud-based data architectures (AWS, Azure, GCP)
· Strong knowledge of SQL, NoSQL, and distributed databases (PostgreSQL, MongoDB, Cassandra, etc.)
· Experience with big data tools like Spark, Kafka, Airflow, or similar
· Familiarity with data warehousing tools (Redshift, BigQuery, Snowflake)
· Solid understanding of data privacy, compliance, and governance best practices
Preferred Qualifications:
· Experience working on AI/ML or Gen AI-related products
· Proficiency in Python or another scripting language used for data processing
· Exposure to building APIs for data ingestion and consumption
· Prior experience supporting enterprise-level SaaS products
· Strong analytical and communication skills
Travel & Documentation Requirement:
· Candidate must hold a valid passport
· Willingness to travel overseas for 1 week (as part of client collaboration)
· Having a valid US visa (e.g., B1/B2, H1B, Green Card, etc.) is a strong advantage
Why Join Us:
· Work on high-impact, cutting-edge Generative AI products
· Collaborate with some of the best minds in AI, engineering, and product
· Flexible work culture with global exposure
· Opportunity to work on deeply technical challenges with real-world impact
#J-18808-Ljbffr