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[Remote] Data Scientist

Remote Full-time Now Hiring

Note: The job is a remote job and is open to candidates in USA. Brilliant Infotech Inc. is seeking a Data Scientist / ML Engineer to migrate and modernize Dataiku data science and machine learning workflows to Databricks. The role focuses on scalable data pipelines, ML lifecycle management, MLOps, CI/CD, monitoring, performance optimization, and collaboration with data and platform teams.

Responsibilities

  • Migrate Dataiku projects, recipes, scenarios, and models to Databricks
  • Rebuild data pipelines, feature engineering, model training, and scoring workflows using Databricks, Spark/PySpark, Python, and SQL
  • Develop scalable Lakehouse, Delta Lake, and ML pipelines
  • Implement MLflow for experiment tracking, model registry, and deployment
  • Implement CI/CD, automated retraining, monitoring, and data quality practices
  • Optimize distributed processing for performance and cost
  • Collaborate with Data Scientists, Data Engineers, and platform teams; document and provide knowledge transfer

Skills

  • • 5+ years Data Science / Analytics / ML Engineering
  • • Strong hands-on experience with Dataiku DSS and Databricks
  • • Strong Python, PySpark, SQL, and Apache Spark skills
  • • Experience with MLflow / MLOps and data/ML platform migration
  • • Experience with AWS, Azure, or GCP
  • • Delta Lake, Feature Stores, Streaming
  • • Git, GitHub, CI/CD, Azure DevOps
  • • Airflow / Databricks Workflows
  • • Data governance, security, and enterprise data platforms

Company Overview

  • Brilliant Infotech is an AI, IT consulting, and engineering partner for companies that need to ship real systems and scale with confidence. It was founded in 2007, and is headquartered in Edison, New Jersey, USA, with a workforce of 51-200 employees. Its website is http://brilliantinfotech.com.
  • Company H1B Sponsorship

  • Brilliant Infotech Inc. has a track record of offering H1B sponsorships, with 2 in 2026, 13 in 2025, 12 in 2024, 17 in 2023, 16 in 2022, 7 in 2021, 10 in 2020. Please note that this does not guarantee sponsorship for this specific role.