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Tiger Analytics Inc.

Gen AI Data Engineer

Work from home

Remote role where the employee must remain based in a particular country.

United States only

Employer listed it 18 months ago · Added yesterday

Been open since 18 months ago. Long-running listings are sometimes left up after the role is filled.

Salary

Not stated

Location

United States only

Timezone

US East

Contract

Full-time

Experience

Senior

Category

Data

This employer didn't state pay. Jobs like this usually pay around $130k–$210k a year, a typical range taken from 270 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "United States, Remote"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

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.

Requirements

Desired Skills:

· Big Data Technologies: Experience with Hadoop and Spark.

Data Visualization: Proficiency with Streamlit and dashboards.

· APIs: Experience in building and maintaining internal APIs.

· Machine Learning: Basic understanding of ML concepts.

· Generative AI: Familiarity with generative AI tools and techniques.

Additional Expertise:

· Knowledge Graphs: Experience with creation and retrieval.

· Vector Databases: Proficiency in managing vector databases.

Requirements

  • ·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.

Benefits

  • ·This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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