HiringCafe
Posted 1y ago

Gen AI Data Engineer

@ Tiger Analytics
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United States
RemoteFull Time
Responsibilities:Designing data platforms, Building data pipelines, Integrating knowledge graphs
Requirements Summary:Senior GenAI data engineering role requiring distributed data systems expertise, pipelines, and cloud infrastructure.
Technical Tools Mentioned:Python, SQL, PySpark, Snowflake, NOSQL, Neo4j, Apache Airflow, AWS, SageMaker, CloudFormation, Terraform, Docker, Kubernetes, GitHub Actions, Jenkins, Streamlit, Elasticsearch, Pinecone, FAISS
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Job Description

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

Technical Skills Required:

Programming Languages: Proficiency in Python, SQL, and PySpark.

Data Warehousing: Experience with Snowflake, NOSQL and Neo4j.

Data Pipelines: Proficiency with Apache Airflow.

Cloud Platforms: Familiarity with AWS (S3, RDS, Lambda, AWS batch, SageMaker processing Job, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, Bigquery, GKE)

Operating Systems: Experience with Linux.

Batch/Realtime Pipelines: Experience in building and deploying various pipelines.

Version Control: Experience with GitHub.

Development Tools: Proficiency with VS Code.

Engineering Practices: Skills in testing, deployment automation, DevOps/SysOps.

Communication: Strong presentation and communication skills.

Collaboration: Experience working with onshore/offshore teams.